Surveillance Video Dataset

The first type, a comprehensive inspection, is a thorough inspection that evaluates the sanitation, maintenance, and food service operations for the facility. YouCook2 is the largest task-oriented, instructional video dataset in the vision community. The Surveillance Detection Scout prototype, whose software Kain has made available on Github, works by capturing and analyzing the video from a Tesla's three cameras—two on its sideview mirrors. Our dataset provides a diverse set of videos. We use a consumer-grade camera with a built-in microphone to acquire data for this purpose. All the vehicles in the GRAM-RTM dataset have been manually annotated. SVCD : Surveillance Video Coding Dataset Based on this newly collected multi-task multi-camera on-using surveillance dataset, this benchmark aims at bringing together cutting-edge researches in the. The dataset can be down video, urban, traffic, road, overhead, tracking, view, detection recognition, video, flow, pedestrian, crowd, surveillance, optical, detection. develops and markets aerospace communications products and services. The VIRAT Video Dataset. We consider all the YouTube videos to form a directed graph, where each video is a node in the graph. DATASET DESIGN 3. in Proceedings - 2017 5th International Workshop on Biometrics and Forensics (IWBF 2017). In all sequences, only one subject is presented in the image at a time. Querying large video datasets with low latency and low cost. It consists of long untrimmed surveillance videos which cover 13 realworld anomalies, including Abuse, Arrest, Arson, Assault, Road Accident, Burglary, Explosion, Fighting, Robbery, Shooting, Stealing, Shoplifting, and Vandalism. We explore the performance of a number of state-of-the-art video anomaly detection methods on the LV dataset. We study the complementary problem, exploring the temporal and causal structures behind videos of objects with simple visual appearance. The Brackish Dataset. Scale: The BEST benchmark contains over one million surveillance images and more than 1000 surveillance video clips or more than 100 thousands images. Bhuyan† Brian C. This dataset mainly presents the crowd violence behavior and most of the scenes are dynamic, which greatly increases the detection difficulty. Real-time ADS-B is used now for air traffic control. as well as normal activities. COVID-19 Surveillance Dashboard 1. There are mainly four advantages in our dataset com-pared with the existing datasets. Awesome Public Datasets on Github. It is a form of legal mapping that creates data suitable for use in rigorous evaluation studies. The paper reviews intelligent surveillance video analysis techniques. In the gallery set, there are 8 images per person. Set of video-based and multimodal traffic surveillance datasets. Surveillance-type videos VIRAT Video Dataset The dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets. SRP provides national leadership in the science of cancer surveillance as well as analytical tools and methodological expertise in collecting, analyzing, interpreting, and disseminating reliable population-based statistics. MIT traffic data set is for research on activity analysis and crowded scenes. The video analytics system in this thesis can be thought as a pipelined process. The 1184 video clips contain spontaneous facial expressions and speech of 13 emotional and mental states. NETAPP E5700 STORAGE SYSTEM FOR VIDEO SURVEILLANCE Maximum raw capacity 960TB system shelf in 4U Maximum 7. Ref: Bialkowski, Alina, Denman, Simon, Lucey, Patrick, Sridharan, Sridha, & Fookes, Clinton B. (2012) A database for person re-identification in multi-camera surveillance networks. You can find additional data sets at the Harvard University Data Science website. Generally, to avoid confusion, in this bibliography, the word database is used for database systems or research and would apply to image database query techniques rather than a database containing images for use in specific applications. Choose a dataset below that interests you to begin exploring the data behind TBI. The copied object is cloned into another part of the same video, after possible transformations. A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis Preprint (PDF Available) · April 2019 with 335 Reads How we measure 'reads'. 8 billion U. I generate a dataframe (Surveillance) with two diseases (Diseases_1 and Disease_2). A large-scale benchmark dataset for event recognition in surveillance video Abstract: We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous visual event recognition (CVER) in outdoor areas with wide coverage. In this part This part contains the following topics: Topic See Page Summary of Functions 2-2. Abstract: We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous visual event recognition (CVER) in outdoor areas with wide coverage. Links to Authors: bbenfold ian Abstract. The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. Weakly Supervised Object Detection. A tool has been developed by researchers in India that uses AI to search for people in surveillance videos by height, gender, and clothing color. For this reason, surveillance data reported by other CDC programs might vary from data reported here because of differences in: 1) the date used to aggregate data (e. Current video datasets used for face recognition are often. Compared with person re-identification, which has concentrated attention, vehicle re-identification is an important yet frontier problem in video surveillance and has been neglected by the multimedia and vision communities. "A Dataset for Airborne Maritime Surveillance Environments. Abnormal Human Activity Recognition in Video Surveillance Assi, W. Mut1ny Face/Head segmentation dataset. Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. SEER is supported by the Surveillance Research Program (SRP) in NCI's Division of Cancer Control and Population Sciences (DCCPS). The Catalogue of Surveillance Systems provides one-stop access to over 100 publicly available datasets relevant to childhood obesity research. 8%) on the KTH dataset along with the. Field Monitors Composite, HDMI, RCA, VGA. VIDEO DATABASES Images were taken in uncontrolled indoor environment using five video surveillance cameras of various qualities. A large vehicle detection dataset with almost two million annotated vehicles for training and evaluating object detection methods for self-driving cars on freeways. Our system runs at an impressive average rate of 125 frames per second on a conventional laptop computer. Some key use cases of video based security and surveillance are as follows: Access control is one of the primary use cases of video processing-based surveillance. clearly defined video events together with ground truth annotations in unconstrained real-world environment. The training dataset is further split into individual. To achieve better detection performance, the size of the image and objects within the image need to be tracked and adjusted. As these systems become larger, effectively observing all cameras in a timely manner becomes a challenge, especially for public and crowded places such as airports, buildings, or railway stations. Our crawler uses a breadth-first search to find videos in the graph. A data set (or dataset) is a collection of data. Each dataset consists of 2 or 3 camera views, referred to as stages, and is further segmented into shorter video clips of 30 to 60 minutes. To our knowledge, this is the first publicly available dataset of video sequences in a maritime surveillance scenario,. [3] Many surveillance systems still require human supervision. Categories Space: Satellites Dataset Source NASA, The United States Space Surveillance Network (DoD) Dataset Developer Analytical Graphics Inc (AGI) Dataset Visualization Developer. This dataset contains video of a pedestrian using a crosswalks. Figure 5: Example sequence of saliency shift considered in the proposed DAVSOD dataset. It consists of 1900 long and untrimmed real-world surveillance videos, with 13 realistic anomalies including Abuse, Arrest, Arson, Assault, Road Accident, Burglary, Explosion, Fighting, Robbery, Shooting, Stealing, Shoplifting, and Vandalism. McGill University Dominant and Rare Event Detection Data: 3 video clips (43, 96 mins) This is a video surveillance data for dominant and rare event detection captured by cameras from a subway station. Dolan In the proceedings of The 49th Annual Meetings of the Association for Computational Linguistics (ACL) , Portland, OR, June, 2011 Data Back to Top Overview. UCCS Challenge: UCCS is a high-resolution surveillance face detection and recognition challenge. Annotation Tool. Perfect video slot machine model suppliers, combined with starters into the film playing games industry, deal with just about every supplemental through goal of this completion from people requirements. The annual "TREC Video Retrieval Evaluation" (TRECVID) is an event in which organizations with an interest in information retrieval research take part in a coordinated series of experiments using the same experimental data. Camera surveillance operates in this area to ensure public safety and for the investigation and prosecution of criminal offences. This dataset can be used for two tasks. No onboard data. News and publications. Quandl is a repository of economic and financial data. To obtain features for a video segment, we take the average of all 16-frame clip features within that segment. CVPR 2018 • Waqas Sultani • Chen Chen • Mubarak Shah. The survey is conducted in all 50 states and US territories. The MIT Traffic dataset [2] is an example of the recent efforts to build more realistic urban traffic surveillance video datasets for research on pedestrian detection and activity analysis. Therefore, in contrast to [61,62,69], our dataset provides alignment to the actions in the video, rather than just to the audio track of the description. General aviation is safer with ADS-B traffic, weather, and flight-information services. FEATURE EXTRACTION: C3D features for every 16-frame video clip followed by l2 normalization. Database contains 4160 static images (in visible and infrared spectrum) of 130 subjects. , date of report or date of disease or condition occurrence), 2) the timing of reports, 3) the source of the data,. Our system runs at an impressive average rate of 125 frames per second on a conventional laptop computer. The dataset includes:. Robust Detection of Abandoned Object for Smart Video Surveillance in Illumination Changes by Hyeseung Park , Seungchul Park * and Youngbok Joo School of Computer Science and Engineering, Korea University of Technology and Education, 1600 Chungjeol-ro, Byeongcheon-myeon, Dongnam-gu, Cheonan-si, Chungcheongnam-do, Korea. Previously there was also an "shot boundary detection" task that cuts long video into short clips. The video analytics system in this thesis can be thought as a pipelined process. txt is our dataset split to train and test the model. It’s made up of multiple law enforcement and intelligence agencies, some of which operate in secret. MARKET & TRADE SURVEILLANCE. The first section of video clips were filmed for the CAVIAR project with a wide angle camera lens in the entrance lobby of the INRIA Labs at Grenoble, France. Finally, the dataset provides the PDF filename for the plant's surveillance capsule report, along with the report date and identification of the specific surveillance capsule. I would like to make a barplot that reacts according to. CADP dataset provides samples for accident detection and forecasting type analysis Average length of videos in our dataset is 366 frames per video with longest video consisting of 554 frames Time to accident - duration from time 0 in video to onset of first accident in annotated videos is 3. Whereas the action recognition community has focused mostly on detecting simple actions like clapping, walking or jogging, the detection of fights or in general aggressive behaviors has been comparatively less studied. The evaluation set is the UK Home Office Centre for Applied Science and Technology' (CAST) (formerly Home Office Scientific Development Branch's (HOSDB)) i-LIDS MCTTR dataset. We use a consumer-grade camera with a built-in microphone to acquire data for this purpose. Even though the Behavioral Risk Factor Surveillance System, BRFSS, and other cross-sectional surveillance datasets were touched on in the prerequisite courses, welcome a quick refresher, as the 2014 BRFSS dataset is used for demonstration in this course. In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question. A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis Preprint (PDF Available) · April 2019 with 335 Reads How we measure 'reads'. COVID-19 Aggregate Surveillance [aggregate]: an aggregate reporting dataset that captures minimum necessary data points for daily or weekly reporting All digital data packages are optimized for Android data collection with the DHIS2 Capture App, which is free to download on the Google Play store. Here are links to the boxes on this Free Datasets subpage. It is divided into 20 clips and can be downloaded from the following links. Detection of Vehicles and Datasets Vehicle Re-Identification for Automatic Video Traffic Surveillance [ATS-CVPR 2016] Abstract: This paper proposes an approach to the vehicle reidentification problem in a multiple camera system. DATASET MODEL METRIC NAME Real-world Anomaly Detection in Surveillance Videos. Two datasets are available: 2012 DATASETand 2014 DATASET. artificial intelligence. Phipps, DVM, Susan Petit, MPH, Richard Rodriguez, MPH, Richard Melchreit, MD, 115 Comparison of Emerging Infections Program (EIP) and National Healthcare Safety Network (NHSN) Datasets for Surveillance of Methicillin-Resistant Staphylococcus aureus (MRSA) and Clostridium difficile Infection (CDI), Open Forum Infectious Diseases, Volume 1, Issue suppl_1, December 2014, Page S9, https. Another large data set - 250 million data points: This is the full resolution GDELT event dataset running January 1, 1979 through March 31, 2013 and containing all data fields for each event record. Coutrot datasets (2013-2016) Multiple video datasets, including a large study on viewing of faces with 405 participants. Federal agencies, private companies, and intergovernmental organizations. Demographics for US Census Tracts - 2010 (American Community Survey 2006-2010 Derived Summary Tables) Demographics for US Census Tracts - 2012 (American Community Survey. There are mainly four advantages in our dataset com-. Video datasets designed to bench-mark tracking algorithms typically focus on surveillance scenarios with static cameras [9,16,32], and usually con-tain multiple instances of similar objects [50] (e. The surveillance and epidemiology of sexually transmitted infections (STIs). Policy surveillance is the systematic, scientific collection and analysis of laws of public health significance. A large-scale benchmark dataset for event recognition in surveillance video Abstract: We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous visual event recognition (CVER) in outdoor areas with wide coverage. Some key use cases of video based security and surveillance are as follows: Access control is one of the primary use cases of video processing-based surveillance. to prevent terrorism, theft, accidents and. The codebooks describe the variables in a. Tech Company providing integrated solution for school mass shooting. Tribal, State, and Federal agencies with questions about ongoing surveillance efforts, or who may wish to participate, should contact [email protected] Laptev et al. Aerial human action recognition is an emerging topic in drone applications. SCface database was designed mainly as a means of testing face recognition algorithms in real-world conditions. 8TB 10K SAS FIPS. Object detection methods try to find the best bounding boxes around objects in images and videos. AI has so much potential in many industries and niches, but it’s hard to ignore just how transformational it could be in the security field. Abstract: This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data (see details at: ). Kindergarten Video Surveillance: The dataset consist of the about 50 hours obtained from kindergarten surveillance videos. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2016) PETS 2016 Las Vegas, USA - July 1st 2016 In Conjunction with CVPR 2016. The datasets are divided into two tables: Sound events table contains datasets suitable for research in the field of automatic sound event detection and automatic sound tagging. It has become a benchmark dataset for the computer vision community. It includes a traffic video sequence of 90 minutes long, recorded by a stationary camera and the whole sequence is divided into 20 clips. , obfuscation of personal visual information in video surveillance is an important and increasingly popular research topic. In all sequences, only one subject is presented in the image at a time. Dataset, totally approximately 100 videos sequences (1000GB, 50 hours) in AVI format with duration ranging from 1 minute to 30 minutes and a mean duration of almost 25 minutes. I generate a dataframe (Surveillance) with two diseases (Diseases_1 and Disease_2). The Brackish Dataset. Popular Datasets. This unchecked surveillance for sale and at massive scale is a threat to every individual’s privacy and personal security. It has a wide array of practical applications - face recognition, surveillance, tracking objects, and more. We explore the performance of a number of state-of-the-art video anomaly detection methods on the LV dataset. Trecvid is an important benchmark for video surveillance, video retrieval, high-level feature extraction etc. Create maps and reports from data you select from over 640 datasets. by Hyeseung Park, Seungchul Park * and Youngbok Joo. au % reference: % Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance. The Communications sector will face a number of legal and regulatory challenges throughout 2014. Datasets This p age provides publicly available benchmark datasets for testing and evaluating detection and tracking algorithms. This dataset divides the vehicle into six types: SUV, sedan, minivan, truck, bus, and micro-bus; however, the shooting angle is positive, and the vehicle object is too small for each image, which is difficult to generalize for. Survey Resources. It includes a traffic video sequence of 90 minutes long, recorded by a stationary camera and the whole sequence is divided into 20 clips. Audio/Video file. COVID-19 Aggregate Surveillance [aggregate]: an aggregate reporting dataset that captures minimum necessary data points for daily or weekly reporting All digital data packages are optimized for Android data collection with the DHIS2 Capture App, which is free to download on the Google Play store. This is the same evaluation corpus as used for the 2009 evaluation. All videos in this dataset are captured by surveillance cameras in the real world, none of them are modified by multimedia technologies. Both provide a realistic, camera-captured (no CGI), diverse set of videos. Another large data set - 250 million data points: This is the full resolution GDELT event dataset running January 1, 1979 through March 31, 2013 and containing all data fields for each event record. 8%) on the KTH dataset along with the. Visual Rain dataset: Rain level estimation from traffic surveillance video. It is too small. The procedure steps for each video are annotated with temporal boundaries and described by imperative English sentences (see the example below). To achieve better detection performance, the size of the image and objects within the image need to be tracked and adjusted. Keywords-Large-scale learning, object retrieval, video surveillance I. All the vehicles in the GRAM-RTM dataset have been manually annotated. Trecvid is an important benchmark for video surveillance, video retrieval, high-level feature extraction etc. We also introduce a new large-scale first of its kind dataset of 128 hours of videos. The majority of existing pedestrian trackers concentrate on maintaining the identities of targets, however systems for remote biometric analysis or activity recognition in surveillance. Outbreak of carbapenemase-producing Enterobacterales. Market-1501 Dataset. The result of taking a frame, each 0. ETISEO Video Surveillance Download Datasets (INRIA Orion Team and others) HDA+ Multi-camera Surveillance Dataset - video from a network of 18 heterogeneous cameras (different resolutions and frame rates) distributed over 3 floors of a research institute with 13 fully labeled sequences, 85 persons, and 64028 bounding boxes of persons. We explore the performance of a number of state-of-the-art video anomaly detection methods on the LV dataset. Video Object Detection. The techniques, tools and dataset identified were listed in form of tables. The fights can contain a diverse range of actions and attributes, for example: punching, kicking, pushing, wrestling, with two persons or more, etc. Long-term Pedestrian Dataset. Masoud, and N. 68PB with expansion shelves (Using 16TB drives) Maximum drives Maximum 480 SAS or NL-SAS; maximum 120 SSDs with mixed shelves Drives supported 4/8/10/12/16TB NL-SAS 6/8TB NL-SAS FIPS 900GB, 1. The Catalogue of Surveillance Systems provides one-stop access to over 100 publicly available datasets relevant to childhood obesity research. 2 the reactions towards the increase in video surveillance is quite positive with 56% being positive and 24% being neutral. Each video will again come with time-localized frame-level features so classifier predictions can be made at segment-level granularity. clearly defined video events together with ground truth annotations in unconstrained real-world environment. Datasets of Normal Crawl. Notice: Undefined index: HTTP_REFERER in /home/zaiwae2kt6q5/public_html/i0kab/3ok9. Abnormal Surveillance Crowd Moving Noise (ASCMN) (2012) Eye movement data from 13 participants for 24 surveillance-type videos. The resolution is half-resolution PAL standard (384 x 288 pixels, 25 frames per second) and compressed using MPEG2. Footage will only be accessed by persons authorised to do so. It can be incorporated into the surveillance systems installed in airports, schools, parking lots, prisons, shopping malls, and other indoor and outdoor public access areas. States A-M (zip) States N-Z (zip) Districts (zip) Combined Datasets User's Guide. In surveillance video, heads tend to appear at less than 20 pixels wide. It contains 1,732 identities captured by a Canon 7D camera fitted with Sigma 800mm F5. The dataset has frame rate of 30 fps and the image resolution is 800X600 pixels. 2 the reactions towards the increase in video surveillance is quite positive with 56% being positive and 24% being neutral. Acoustic scenes table contains datasets suitable for research involving the audio-based context recognition and acoustic scene classification. multiple video streams are present. The VIRAT Video Dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets. Guns can be detected using existing surveillance cameras and our machine deep learning algorithms. In this work, we construct a large-scale dataset for vehicle re-identification (ReID), which contains 137k images of 13k vehicle instances captured by UAV-mounted cameras. Background Subtraction Website. 3DPeS (3D People Surveillance Dataset) for surveillance and forensic in 3D environments, specifically designed for re-identification tasks, but applicable to many other tasks THE 3DPeS VIDEO BASED DATASET The main limitation of currently annotated datasets for re-identification is that they are mainly image-based and not video based. VISOR VIdeo Surveillance Online Repository - A collection of surveillance videos PEIPA Dataset A database consist of Faces and Facial Expressions, Handwriting, Medical, Motion, Object Recognition, Surveillance Images, etc. The dataset currently contains… machine vision , openCV , perception , surveillance. You can capture images from multiple USB Webcams or IP cameras, monitor screen, files and other video capture devices and view simultaneous images from all cameras in the main app window. The ARENA dataset comprises of a series of multi-camera video recordings (22 acted scenarios) where the challenge is the detection and understanding of human behaviour around a parked vehicle employing four visual (RGB) cameras mounted on the four corners of the vehicle itself (see Figure 1). The Caltech dataset consists of a dominant set of images where the pedestrian objects are ~50 to ~70 in pixel size,. To evaluate the surveillance video coding performance, we constructed a large-scale dataset, called PKU-SVD-A, by collecting 73 videos with different resolutions (ranging from SD, 720p, 1600*1200, and 1920*1080) or at different weather and time conditions (e. The bounding box of the pedestrian is provided in a. avi (the test dataset). The KTH dataset is introduced later in this paper (see Section 8. Axis video surveillance products are recognized for their quality, innovation and ease of installation and operation. Market-1501 Dataset. Since the dataset is an annotation of PASCAL VOC 2010, it has the same statistics as those of the original dataset. Arora, "A Comprehensive Survey of Video Datasets for. This page provides the software, ground-truth data and results achieved by the proposed algorithm for Stationary Foreground Detection in crowds. The ARENA dataset is a multi-sensor dataset and in-cludes a selection of video sequences that were recorded as part of the EU project ARENA7, which addresses the design of a flexible surveillance system to enable situational awareness and determi-. Another large data set - 250 million data points: This is the full resolution GDELT event dataset running January 1, 1979 through March 31, 2013 and containing all data fields for each event record. Sample annotated image from our dataset. The dataset must include footage from at least 20 different security cameras with “varying positions, views, resolutions and frame rates” scattered across roughly 2. The dataset combines visual, textual and temporal coherence reasoning together with knowledge-based questions, which need of the experience obtained from the viewing of the series to be answered. Help & Glossary. The characteristics of the benchmark datasets are presented, and major applications of human detection in surveillance video are reviewed. Related Datasets. However, the a. my question is probably simple but I don't find an answer. A separate surveillance-type video dataset will be provided for each challenge. Chroma based techniques were used to first acquire foregrounds and. SALSA: Synergetic sociAL Scene Analysis dataset contains uninterrupted recordings of an indoor social event involving 18 subjects over 60 minutes. Forest Fires Data Set Download: Data Folder, Data Set Description. This dataset can be used for two tasks. Latest measles data. The paper is titled "Fooling automated surveillance cameras: adversarial patches to attack person detection. artificial intelligence. Datasets are an integral part of the field of machine learning. Motivation and description Small drones are a rising threat due to their possible misuse for illegal activities such as smuggling of drugs as well as for terrorism attacks using explosives or chemical weapons. Introduction The Test dataset contains the data for the WHO STEPS Instrument for Epi Info Training. 27 cameras observed the persons and vehicles in an outdoor environment, while the remaining nine observed the same persons indoors. The dataset currently contains nearly 2,000 images illustrating ‘signs of surveillance’ and is explicitly created for the purpose of training computer vision systems to recognise places where computer vision systems or other kinds of video surveillance may be occurring. The SDK is used for passive identification - when passers-by do not make any efforts to be recognized. my question is probably simple but I don't find an answer. The Video Processing Analysis Resource is a toolkit of scripts and Java programs that enable the markup of visual data ground truth, and systems for evaluating how closely sets of result data approximate that truth. BrnoCompSpeed is dataset for speed measurement of cars on highways. The dataset combines visual, textual and temporal coherence reasoning together with knowledge-based questions, which need of the experience obtained from the viewing of the series to be answered. UB KinFace. 27 Human Detection Tutorial Overview Human detection for images Overview and history of state of the art approaches Standard datasets and evaluation procedure Comparison of methods Human detection for videosurveillance Look for video surveillance context : (low resolution,static camera etc. We demonstrate our approach on the problem of vehicle detection in challenging surveillance scenarios, using a large training dataset composed of around one million images. The ARENA dataset comprises of a series of multi-camera video recordings (22 acted scenarios) where the challenge is the detection and understanding of human behaviour around a parked vehicle employing four visual (RGB) cameras mounted on the four corners of the vehicle itself (see Figure 1). Database contains 4160 static images (in visible and infrared spectrum) of 130 subjects. TRAINING VIDEO – Introduction to the National ILI Surveillance Dashboard Version 3 State Agency Submissions Tracking DASHBOARD – V3 State Agency Submissions Tracking. 2 seconds long, is having a dataset of 45,000 frames for training — the equivalent of 3000 segments of video, considering that a segment of a video. Files: zip (212MB) If you use this dataset please cite:. 246 video clips (320 × 240 pixels image resolution) are assembled on this dataset with 123 violent samples and 123 non-violent ones. Daimler Pedestrian Segmentation Benchmark Dataset. The dataset includes 750 face videos of 50 users captured while using a smartphone by its front-facing camera. More extensive comparisons of face recognition datasets can be found in the paper. CRCP-Surveillance of wild and outplanted A. EPA Facility Registry Service (FRS): Power Plants. uk/research. , dark, fog, rain,…). Since the dataset is an annotation of PASCAL VOC 2010, it has the same statistics as those of the original dataset. Current video datasets used for face recognition are often. Introduction. Included in this overall surveillance are two types of inspections that are conducted on a routine basis. SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances Dataset for semantic segmentation of 3d lidar data in dynamic scene using semi-supervised learning(2019 Mei T-ITS)( Zip 176MB, without raw LiDAR point cloud; Zip 2. Head CT scan dataset: CQ500 dataset of 491 scans. The events are divided into a training set composed of 4,200 events and a test set composed of 1,800 events. to prevent terrorism, theft, accidents and. [email protected] ) Integration of background substraction. Surveillance depends on the most accurate and latest data available. Human-verified labels on about 237K segments on 1000 classes are collected from the validation set of the YouTube-8M dataset. More Options. The Brackish Dataset. Field-of-view overlap exists among different cameras. A large vehicle detection dataset with almost two million annotated vehicles. Datasets have been developed for movies and sports, but, these actions and scene conditions do not apply effectively to surveillance videos. Virat video dataset ~8. Now, the camera's lens is turning its focus to American citizens. • We introduce a large-scale video anomaly detection dataset consisting of 1900 real-world surveillance videos of 13 different anomalous events and normal activities cap-tured by surveillance cameras. Subjects include health, crime, population, finance, industry, and marketing. 14% rank-1 recognition rates, respectively. Zip Archive file. OneTick is a specialized time series ‘tick’ database optimized for capture, storage and analysis of financial data. In this work, we explore the impact of considering spatiotemporal tubes instead of whole-frame video segments. PETS 2016 IEEE International Workshop on. Chronic Conditions. The primary purpose of NEISS is to collect data on consumer product-related injuries occurring in the United States. Neural Image Toolbox provides a high level of monitoring automation and system level operator classes are provided on demand. The web-nature data contains 163 car makes with 1,716 car models. If a video b is in the related video list (first 20 only) of a video a, then there is a directed edge from a to b. The dataset is composed of traffic video sequences annotated with vehicle bounding boxes and trajectories at various challenging levels. This dataset is one of five datasets of the NIPS 2003 feature selection challenge. Datasets of Normal Crawl. Our crawler uses a breadth-first search to find videos in the graph. Due to the three camera configuration, one of the cameras is likely to capture a face set where a subset of the faces is near-frontal. The dataset is collected as follows: 1) Surveillance video. After EFF filed a FOIA lawsuit in 2017 seeking access to NIST and FBI records about Tatt-C, we obtained documents that listed institutions and other parties that had requested the Tatt-C dataset. MMSPG Mini-drone Video Dataset : Built to improve drone-based surveillance, this research dataset contains 38 HD videos. au % reference: % Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance. Popular Datasets. Day Traffic Sample Video Dataset Onur Öçalan Pedestrian Walking and Traffic Exit,Human Activity Recognition Video ,DataSet By UET Alibi ALI-IPU3030RV IP Camera Highway Surveillance. This dataset contains 5 different collective activities : crossing, walking, waiting, talking, and queueing and 44 short video sequences some of which were recorded by consumer hand-held digital camera with varying view point. Video Datasets This web site contains links to a number of video datasets used for computer vision research and created over a number of years by teams working with/in collaboration with Prof. Such video datasets are essential to compare newly developed methods with state-of-the-art solutions. News and publications. Safety and efficiency improve with advanced ADS-B applications. The highly optimized motion detection feature allows you to monitor and save video alerts as soon as motion is detected. Dataset: Microsoft Kinect and Leap Motion Dataset 5| People Counting. Trecvid is an annual competition, and a workshop is organized which summarizes submitted methods and results. Human-verified labels on about 237K segments on 1000 classes are collected from the validation set of the YouTube-8M dataset. Indoor Multi-Camera Datasets. Forest Fires Data Set Download: Data Folder, Data Set Description. , obfuscation of personal visual information in video surveillance is an important and increasingly popular research topic. The MCTTR data set is available at no cost. Deer Tick Surveillance: Adults (Oct to Dec) excluding Powassan virus: Beginning 2008 State This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. traffic surveillance video dataset. Each video will again come with time-localized frame-level features so classifier predictions can be made at segment-level granularity. In such a setup, one can easily imagine a scenario where an individual should be recognized comparing one frontal mug shot image to a low quality video surveillance still image. Data request form (PDF) If you are interested in viewing documents older than the ones displayed on this page, please email us at [email protected] FVC2000 Fingerprint Databases FVC2000 is the First International Competition for Fingerprint Verification Algorithms. So, there are 339 different action classes in the dataset with 1,757 labeled videos per class on average; each video is labeled with only one action class. The related Data Dictionary explains each field in the dataset. Dataset, totally approximately 100 videos sequences (1000GB, 50 hours) human action behavior segmentation video background surveillance: link: 2020-01-28: 2460: 234: UMD Dynamic Scene Recognition. The FaceForensics++ dataset (Rössler et al, 2019) is a very-large scale dataset containing face-swapped videos (and untampered face videos) from a number of different algorithms, aimed for the evaluation of face-swap detection algorithms. This chapter is organized into the following sections. The Video Processing Analysis Resource is a toolkit of scripts and Java programs that enable the markup of visual data ground truth, and systems for evaluating how closely sets of result data approximate that truth. The Video Processing Analysis Resource is a toolkit of scripts and Java programs that enable the markup of visual data ground truth, and systems for evaluating how closely sets of result data approximate that truth. The survey is conducted in all 50 states and US territories. 3DPeS (3D People Surveillance Dataset) for surveillance and forensic in 3D environments, specifically designed for re-identification tasks, but applicable to many other tasks THE 3DPeS VIDEO BASED DATASET The main limitation of currently annotated datasets for re-identification is that they are mainly image-based and not video based. KnowIT VQA is a video dataset with 24,282 human-generated question-answer pairs about The Big Bang Theory. Arora, "A Comprehensive Survey of Video Datasets for. The codebooks describe the variables in a. 6 billion audio/visual features, 3862 classes and 3avg labels per video. Video Datasets This web site contains links to a number of video datasets used for computer vision research and created over a number of years by teams working with/in collaboration with Prof. The recording of portal 1 and portal 2 are one month apart. in conjunction with the "International workshop on small-drone surveillance, detection and counteraction techniques" of IEEE AVSS 2017, August 29th, Lecce, Italy. Introduction. Sadeghian, A. we used the CDnet video dataset as a benchmark that consists of many. Mortality - Multiple Cause of Death. intro: The dataset contains 66,500 temporal annotations for 157 action classes, 41,104 labels for 46 object classes, and 27,847 textual descriptions of the videos. The dataset was acquired from 36 stationary camera views using a variety of surveillance cameras with resolutions ranging from standard VGA to three megapixel. The timeliness of provisional mortality surveillance data in the National Vital Statistics System (NVSS) database varies by cause of death. It includes a traffic video sequence of 90 minutes long, recorded by a stationary camera and the whole sequence is divided into 20 clips. The paper reviews intelligent surveillance video analysis techniques. In all sequences, only one subject is presented in the image at a time. 09, Microsoft Kinect v2, Canon IXUS 950 IS (the sensors were synchronized) Description: 30 texture-less objects. The first section of video clips were filmed for the CAVIAR project with a wide angle camera lens in the entrance lobby of the INRIA Labs at Grenoble, France. After EFF filed a FOIA lawsuit in 2017 seeking access to NIST and FBI records about Tatt-C, we obtained documents that listed institutions and other parties that had requested the Tatt-C dataset. Marine Robotics Datasets, ACFR; Outdoor Datasets. No onboard data. They have been selected to cover a wide range of detection challenges and are representative of typical indoor and outdoor visual data captured today in surveillance, smart environment, and video database scenarios. [email protected] The techniques, tools and dataset identified were listed in form of tables. Policy surveillance is the systematic, scientific collection and analysis of laws of public health significance. implemented in the surveillance system to assist the protection of people, facilities, and areas. The California Department of Public Health (CDPH), Office of AIDS (OA) conducts the U. We have placed these sequence data, sample metadata, and "known" phylogenetic trees in publicly-accessible databases and developed a standard descriptive spreadsheet format describing each dataset. Video was kindly provided by Marilyne Brosseau, Jean-Simon Bourdeau and Nicolas Saunier. Overview We collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions using existing technologies. National (To save the ASCII data file: right click the link and select. A large vehicle detection dataset with almost two million annotated vehicles. There are a total of 136,726 images capturing the entire cars and 27,618 images capturing the car parts. Should an incident occur, footage may be provided to the Queensland Police Service for law enforcement purposes. Object detection methods try to find the best bounding boxes around objects in images and videos. A data set (or dataset) is a collection of data. However, the a. To this end, we introduce the CoLlision Events for Video REpresentation and Reasoning (CLEVRER), a diagnostic video dataset for systematic evaluation of computational models on a wide range of reasoning tasks. To increase intra-class variation, each vehicle is captured by at least two UAVs at different locations, with diverse view-angles and flight-altitudes. After EFF filed a FOIA lawsuit in 2017 seeking access to NIST and FBI records about Tatt-C, we obtained documents that listed institutions and other parties that had requested the Tatt-C dataset. TRaffic ANd COngestionS (TRANCOS) dataset. It should be noted that this dataset is strictly for. In surveillance video, heads tend to appear at less than 20 pixels wide. Video Surveillance Classification-based Multiple Instance Object Retrieval: Evaluation and Dataset Catalin Alexandru Mitrea 1,2, Ionu¸t Mironica˘ , Bogdan Ionescu 3, Radu Dogaru 1 LAPI & Natural Computing Labs, University "Politehnica" of Bucharest, 061071, Romania 2 UTI GRUP, Bucharest, 020492, Romania 3 DISI, University of Trento, 38123 Povo, Italy. SEER is supported by the Surveillance Research Program (SRP) in NCI's Division of Cancer Control and Population Sciences (DCCPS). Since the dataset is an annotation of PASCAL VOC 2010, it has the same statistics as those of the original dataset. Our approach based on two types of fea-tures for detecting anomaly events. Specialist Just like can be quite a love-themed on-line video slot machine equipment sport. There is therefore a need to process the captured videos such that human operators can quickly review the activities recorded by a camera over a long period of time. The lab has been active in a number of research topics including object detection and recognition, face identification, 3-D modeling from. Quick specs: 200,000 images;. The paper reviews intelligent surveillance video analysis techniques. Country Reports. In addition we also mine existing movie scripts, pre-align them automatically, simi-lar to [14,45] and then manually align the. This dataset is one of five datasets of the NIPS 2003 feature selection challenge. We explore the performance of a number of state-of-the-art video anomaly detection methods on the LV dataset. The typical notation in the ML field indicates the input matrix as X and the output labels as Y. Persons with disabilities experiencing problems accessing the Global Tobacco Control documents should contact [email protected] Keywords-Large-scale learning, object retrieval, video surveillance I. To the best of our knowledge, it is to-date the largest and most realistic public dataset for real video surveil-lance. The videos in PANDA were captured by a gigapixel camera and cover real-world large-scale scenes with both wide field-of-view ( ~1km^2 area ) and high resolution details ( ~gigapixel-level/frame ). The dataset consists of 25 subjects (19 male and 6 female) in portal 1 and 29 subjects (23 male and 6 female) in portal 2. Datasets of Normal Crawl. Training and validation contains 10,103 images while testing contains 9,637 images. It has become a benchmark dataset for the computer vision community. Also, the usual 70/30 dataset split has already been performed by the dataset authors (you will find four files in total), but in our case, AWS Machine Learning will do all of that for us,. In surveillance settings, cameras are usually placed far away from the subjects, thereby resulting in variations across pose, illumination, occlusion, and resolution. It is a very valid idea, and you could do a CNN topped by an RNN (search Andrej Karpathy), or (Continuous video classification with TensorFlow, Inception a. PASCAL: Static object dataset with diverse object views and poses. Some of this information is free, but many data sets require purchase. ; Ramachandra, B. Detection of Vehicles and Datasets Vehicle Re-Identification for Automatic Video Traffic Surveillance [ATS-CVPR 2016] Abstract: This paper proposes an approach to the vehicle reidentification problem in a multiple camera system. A data set purpose is usually designed for the analysis rather to a continual update form different users, hence represent the end of a collection of data or a snapshot of a specific time. 2014 - Lund University/McGill University/Polytechnique Montréal - Single/multicamera. An efficient surveillance system is a large-scale computer vision, data analysis, and decision making challenge. 3DPeS (3D People Surveillance Dataset) is a surveillance dataset, designed mainly for people re-identification in multi camera systems with non-overlapped field of views, but also applicable to many other tasks, such as people detection, tracking, action analysis and trajectory analysis. Finally, the dataset provides the PDF filename for the plant's surveillance capsule report, along with the report date and identification of the specific surveillance capsule. The privacy of the public is at risk of being invaded on a mass scale without its consent as the collection of big data meshes with proliferation of video surveillance, the government’s CCTV. This is question of the general increase in video surveillance. Our approach based on two types of fea-tures for detecting anomaly events. Overall, this dataset contains 32,668 annotated bounding boxes of 1,501 identities. In this paper, we review the question:. EXPLORE: Explore the JAAD dataset here. This paper introduces an urban surveillance video dataset (USVD) which is by far the largest and most comprehensive. Another large data set - 250 million data points: This is the full resolution GDELT event dataset running January 1, 1979 through March 31, 2013 and containing all data fields for each event record. % Abnormal Detection using NNMF on MIT video surveillance dataset % updated: 01 July 2016 % Dr Vu Nguyen, v. Indoor Multi-Camera Datasets. surveillance scenarios, where videos are captured across varying resolutions and spectra. The goal of the conference series is to create the infrastructure necessary for large-scale evaluation of research. Edward Richards or Julie Bernauer of NVIDIA are the people to ask about the video database. Active Confirmed Deaths Recovered. IARPA Janus Benchmark-B Face Dataset * sic quality media searches, surveillance video searches, and clustering. " IEEE Transactions on Circuits and Systems for Video Technology (2017). If the school's law enforcement unit controls the cameras/videos and it is doing the surveillance for safety reasons, the ensuing videos would be considered law enforcement, rather than education, records. The VIRAT Video Dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets. Our dataset consists of many outdoor scenes with actions occurring naturally by non-actors in continuously captured videos of the real world. The CrowdHuman dataset is large, rich-annotated and contains high diversity. Activity can be a group of conse cutive action or tasks performed by an individual. Duncan Nathan Kalka yTim Miller Charles Otto yAnil K. 8/4TB 10K SAS 1. BrnoCompSpeed is dataset for speed measurement of cars on highways. Head Tracking. In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question. The goal of the conference series is to create the infrastructure necessary for large-scale evaluation of research. UCF-Crime Dataset We construct a new large-scale dataset, called UCF-Crime, to evaluate our method. The detection range is four times farther than typical headlights. To our knowledge, it is the largest UAV-based vehicle ReID dataset. Audio/Video file. Virat video dataset ~8. 11, in a video interview with Vice TV last week. , obfuscation of personal visual information in video surveillance is an important and increasingly popular research topic. In this work, we construct a large-scale dataset for vehicle re-identification (ReID), which contains 137k images of 13k vehicle instances captured by UAV-mounted cameras. Video Archive Infographic Archive The Division of Cancer Control and Population Sciences (DCCPS) has the lead responsibility at NCI for supporting research in surveillance, epidemiology, health services, behavioral science, and cancer survivorship. ) and sensor types (mono, color, near-IR, thermal, etc. Laptev et al. VD2: There are total 807,260 images in the dataset. The statistic shows the video surveillance equipment market size worldwide from 2013 to 2017. in conjunction with the "International workshop on small-drone surveillance, detection and counteraction techniques" of IEEE AVSS 2017, August 29th, Lecce, Italy. Datasets profiled in the Catalogue include information on obesity-related: Health behaviors, outcomes, and determinants Policies and environmental factors Surveillance systems included in the Catalogue. Visual privacy protection, i. In 2017, the global video surveillance equipment market had a value of 16. Regional. However, while many datasets are available for testing performance of various video analytics, little to nothing exists for evaluation of visual privacy tools. Description. Weakly Supervised Object Detection. Acoustic Datasets for Machine Learning. At the end of this paper, a discussion is made to point the future work needed to improve the human detection process in surveillance videos. Name: cVSG Dataset Description: The Chroma Video Segmentation Ground Truth (cVSG) is a corpus of video sequences and segmentation masks. It was founded in 1986 and has been a major center of government- and industry-sponsored research in computer vision and machine learning. This chapter is organized into the following sections. Datasets of Normal Crawl. Journal of Intelligent Transportation Systems: Vol. The size of the scene is 720 by 480. To take action recognition to a new level, we develop FineGym, a new dataset built on top of gymnasium videos. We believe AI has an important role to play. Large scale visual surveillance generates huge volumes of data at a rapid pace, giving rise to massive image repositories. Baited remote underwater video systems (BRUVs) are one of the most effective non‐destructive techniques for sampling bony fishes and elasmobranchs (sharks, rays, and skates). In this paper, we focus on reliable cues for early detection of violence in such settings. These datasets are used for machine-learning research and have been cited in peer-reviewed academic journals. MIT Traffic Data Set. This chapter is organized into the following sections. Chroma based techniques were used to first acquire foregrounds and. scale video benchmark for human activity understanding. The highly optimized motion detection feature allows you to monitor and save video alerts as soon as motion is detected. TRAINING VIDEO – Introduction to the National ILI Surveillance Dashboard Version 3 State Agency Submissions Tracking DASHBOARD – V3 State Agency Submissions Tracking. Training and validation contains 10,103 images while testing contains 9,637 images. The dataset is a subset of data derived from the 2013 Behavioral Risk Factor Surveillance System (BRFSS) operated by the U. The FLIR thermal cameras can detect and classify objects in challenging conditions including total darkness, fog, smoke, inclement weather and glare, providing a supplemental dataset beyond LiDAR, radar and visible cameras. KnowIT VQA is a video dataset with 24,282 human-generated question-answer pairs about The Big Bang Theory. Set of video-based and multimodal traffic surveillance datasets. To our knowledge, it is the largest UAV-based vehicle ReID dataset. In addition to the policy questions surrounding state-owned and private cameras, video surveillance is creating challenges for big data and machine learning. SCface database was designed mainly as a means of testing face recognition algorithms in real-world conditions. Overview We collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions using existing technologies. 2019/2020 influenza season. The new assessed version of the dataset contains hundreds of video sequences of 200 people taken from a multi-camera distributed surveillance system over several days, with di €erent light conditions; each person is detected multiple times and from di €erent points of view. The data set lists values for each of the variables,. DATASET MODEL METRIC NAME A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis. "A Dataset for Airborne Maritime Surveillance Environments. The Market-1501 dataset is collected in front of a supermarket in Tsinghua University. FreeNAS is the simplest way to create a centralized and easily accessible place for your data. Person Detection Dataset (PD-T) Diverse outdoor phenomena effects and persons in outdoor soccer filed, captured by thermal cameras. General aviation is safer with ADS-B traffic, weather, and flight-information services. gov or call 1-800-CDC-INFO (1800-232-4636). Abstract The paper presents a new approach for abnor-mal human activity detection in videos surveil-lance which is important for many daily pur-poses. au Abstract. The ARENA dataset comprises of a series of multi-camera video recordings (22 acted scenarios) where the challenge is the detection and understanding of human behaviour around a parked vehicle employing four visual (RGB) cameras mounted on the four corners of the vehicle itself (see Figure 1). BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. The dataset must include footage from at least 20 different security cameras with “varying positions, views, resolutions and frame rates” scattered across roughly 2. Head CT scan dataset: CQ500 dataset of 491 scans. Background Subtraction Website. The primary purpose of NEISS is to collect data on consumer product-related injuries occurring in the United States. There are mainly four advantages in our dataset com-pared with the existing datasets. 26 Apr 2019 • Guojun Yin • Bin Liu • Huihui Zhu • Tao Gong • Nenghai Yu. Free datasets by category: Census & Vital Statistics, Children, Community Development, Criminal Justice, Economic, Education, Elderly, General/Multidisciplinary, Health, Religion, Social. In addition to the policy questions surrounding state-owned and private cameras, video surveillance is creating challenges for big data and machine learning. In this paper, a Novel Hybrid Generative-Discriminative framework is proposed for detecting and localising the anomalous events of illegal vehicles present in the scene. We list below existing surveillance face recognition datasets. The dataset also includes the data from the subjective assessment, which evaluated the impact of UHD on privacy compared to a currently common High Definition (HD) video and declining Standard. Typically. The VIRAT Video Dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets. Some of the activities such as wake up, look, sit. surveillance video dataset (USVD) with congested and com-plex scenarios for multiple-object tracking and anomaly be-havior analysis. UB KinFace. RESEARCH ARTICLE Violence detection in surveillance video using low-level features Peipei Zhou ID 1,2,3,4*, Qinghai Ding1,5, Haibo Luo1,3,4, Xinglin Hou1,2,3,4 1 Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China, 2 University of Chinese Academy of Sciences, Beijing, China, 3 Key Laboratory of Opto-Electronic. Specialist Just like can be quite a love-themed on-line video slot machine equipment sport. Your information will not be given to any. The dataset used in "Smoke Detection Based on Scene Parsing and Saliency Segmentation": The The dataset for wildfire smoke detection contains 4695 images, which consists of 2695 images for training and 2000 images for test. Suspicious human activity recognition from surveillance video is an active research area of image processing and computer vision. The Boxy Vehicles Dataset. Should an incident occur, footage may be provided to the Queensland Police Service for law enforcement purposes. Sergio A Velastin, professor of Applied Computer Vision, recently a UC3M-Conex Marie Curie Research Professor at the Applied Artificial Intelligence Research Group, Universidad Carlos III de Madrid. 'We are hurtling towards a surveillance state’: the rise of facial recognition technology Facial recognition It can pick out shoplifters, international criminals and lost children in seconds. Figure 5: Example sequence of saliency shift considered in the proposed DAVSOD dataset. The third video sequence, called Urban1 (23435 frames), has been recorded in a busy intersection with video surveillance traffic camera with a resolution of 600x360 @25fps. It is a form of legal mapping that creates data suitable for use in rigorous evaluation studies. ETISEO Video Surveillance Download Datasets (INRIA Orion Team and others) HDA+ Multi-camera Surveillance Dataset - video from a network of 18 heterogeneous cameras (different resolutions and frame rates) distributed over 3 floors of a research institute with 13 fully labeled sequences, 85 persons, and 64028 bounding boxes of persons. Whereas the action recognition community has focused mostly on detecting simple actions like clapping, walking or jogging, the detection of fights or in general aggressive behaviors has been comparatively less studied. Since surveillance and privacy protection have contradictory objectives, the. Kindergarten Video Surveillance: The dataset consist of the about 50 hours obtained from kindergarten surveillance videos. The datasets are free for research and educational purposes only and can be used in scientific publications at the condition of respecting the requested citation acknowledgment. To our best knowledge, TREC Video Retrieval Evaluation (TRECVid) [14] has made the largest effort to bridge the re-searcheffortsand the challengesin real-worldconditionsby providing an extensive 144-hour surveillance video dataset. That is our vision. The SDK is used for passive identification - when passers-by do not make any efforts to be recognized. To obtain features for a video segment, we take the average of all 16-frame clip features within that segment. The Surveillance Detection Scout prototype, whose software Kain has made available on Github, works by capturing and analyzing the video from a Tesla's three cameras—two on its sideview mirrors. 25 April 2017 Comparative study of motion detection methods for video surveillance systems. 125 Years of Public Health Data Available for Download. This dataset mainly presents the crowd violence behavior and most of the scenes are dynamic, which greatly increases the detection difficulty. COVID-19 Surveillance Dashboard. MARKET & TRADE SURVEILLANCE. So, there are 339 different action classes in the dataset with 1,757 labeled videos per class on average; each video is labeled with only one action class. Previously there was also an "shot boundary detection" task that cuts long video into short clips. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2016) PETS 2016 Las Vegas, USA - July 1st 2016 In Conjunction with CVPR 2016. Mortality - Compressed. This location provides a clear view of each person coming in and out your storefront. Note: Bovisa dataset is for outdoor and Bicocca dataset is for indoor. In the context of the European CANTATA project, partners involved in multi content analysis validation methods combined their efforts to create a webpage to share knowledge about datasets (sets & metadata & ground truth & metrics) for three different domains: surveillance, consumer electronic and medical. Unlike the existing fine-grained parts or key-points based human pose datasets, SHPD is built for two aims: 1) constructing a more specialized human pose benchmark for surveillance tasks, and 2) focusing on coarse-grained global-pose estimation for s- mall scale human objects, which are the most common targets in practical outdoor surveillance. FEATURE EXTRACTION: C3D features for every 16-frame video clip followed by l2 normalization. " IEEE Transactions on Circuits and Systems for Video Technology (2017). gov for additional details. There is, however, an alternative between using traditional quantitative methods and investing in gathering data from a plethora of devices. UCCS Challenge: UCCS is a high-resolution surveillance face detection and recognition challenge. However, a limited number of aerial video datasets are available to support increased research into aerial human action analysis. Automated anomaly detection in surveillance system demands to address various problems of real-time monitoring. The Dataset includes 160 tampered videos, from 6 different original videos. Guns can be detected using existing surveillance cameras and our machine deep learning algorithms. 98 False Positive Rate on Test 0. Whatever protections existed in the location dataset can crumble with the addition of only one or two other sources. [3] Many surveillance systems still require human supervision.