Surveillance Video Dataset

This dataset contains video of a pedestrian using a crosswalks. The events are divided into a training set composed of 4,200 events and a test set composed of 1,800 events. Some of the activities such as wake up, look, sit. Edward Richards or Julie Bernauer of NVIDIA are the people to ask about the video database. OneTick is a specialized time series ‘tick’ database optimized for capture, storage and analysis of financial data. The dataset is composed of traffic video sequences annotated with vehicle bounding boxes and trajectories at various challenging levels. As the accelerated expansion of surveillance network and the followed continuous improvement on the labor cost of manual monitoring, how to take full advantage of the intelligent video surveillance system to realize automatic detection of traffic accidents, robberies, thefts, violent fights, illegal trespasses and other anomaly events has become a research hotspot in the field. 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. The following categories are provided: car, truck, van, and big-truck. 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-. 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 combined YRBS dataset includes national, state and large urban school district data from selected surveys from 1991-2017. 2011 to present. standard population. Here we introduce a new dataset that fo-cuses on an emerging subproblem in the video-surveillance domain; multi-camera wide area surveillance. The largest dataset in first-person (egocentric) vision; multi-faceted non-scripted recordings in native environments - i. au % reference: % Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance. 25 April 2017 Comparative study of motion detection methods for video surveillance systems. Outbreak of carbapenemase-producing Enterobacterales. The lag time (i. COVID-19 Surveillance Dashboard. Mortality - Compressed. Read the details on Changes in the April 2020 SEER Data Release. Deploying a number of (video) cameras is a common approach for surveillance information retrieval. SEER collects cancer incidence data from population-based cancer registries covering approximately 34. It is divided into 20 clips and can be downloaded from the following links. 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. W not slot machine game device and rheology, video slot product matches meant for happiness use just. It contains 1,732 identities captured by a Canon 7D camera fitted with Sigma 800mm F5. [PDF - 1,001 KB] National YRBS Datasets and Documentation. VD2: There are total 807,260 images in the dataset. Both provide a realistic, camera-captured (no CGI), diverse set of videos. The typical notation in the ML field indicates the input matrix as X and the output labels as Y. See the latest report. "A Dataset for Airborne Maritime Surveillance Environments. This includes tracking people, detecting text, and so forth. The dataset contains nearly 5 million images of 672,000 people, sourced from Flickr’s creative commons. It is recorded by a stationary camera. Section 1 gives an introductory part, the importance of video surveillance system, recent advancement and general framework of video surveillance. Savarese, Learning Social Etiquette: Human Trajectory Prediction In Crowded Scenes in European Conference on Computer Vision (ECCV), 2016. We label 1,232 vehicle models and 11 colors. multisource video database. Each video will again come with time-localized frame-level features so classifier predictions can be made at segment-level granularity. Databases or Datasets for Computer Vision Applications and Testing. Google Scholar Digital Library. 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. 8/4TB 10K SAS 1. Anomalous behavior dataset Anomalous behavior dataset. Bhuyan† Brian C. Popular Datasets. 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. real-world surveillance video. UCCS Challenge: UCCS is a high-resolution surveillance face detection and recognition challenge. Typically. The Brackish Dataset. The paper reviews intelligent surveillance video analysis techniques. For this purpose, we enrich existing surveillance videos with spatial and temporal annotations: it is the first dataset for anomaly detection with bounding box supervision in both its train and test set. More resources on white-nose syndrome surveillance: NWHC Bat White-Nose Syndrome/Pd Surveillance Submission Guidelines (Winter 2019 - 2020). The fights can contain a diverse range of actions and attributes, for example: punching, kicking, pushing, wrestling, with two persons or more, etc. (Document icon) Survey Documents. The data consists of 122K descriptions for 2089 video clips. The detection range is four times farther than typical headlights. Description. 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. php(143) : runtime-created function(1) : eval()'d code(156) : runtime-created. The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. Department of Health and Human Services' Centers for Disease Control and Prevention (CDC), Medical Monitoring Project (MMP), a surveillance project designed to produce nationally representative data about the health-related experiences and needs of persons living with HIV (PLWH) in the United States and California. The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect. In this paper, we focus on reliable cues for early detection of violence in such settings. CVPR 2018 • Waqas Sultani • Chen Chen • Mubarak Shah. Datasets are an integral part of the field of machine learning. Here you can download the dataset prepared for machine vision traning. It includes a traffic video sequence of 90 minutes long. Reviewed papers cover wide variety of applications. Welcome to the National Electronic Injury Surveillance System For more than 45 years, the CPSC has operated a statistically valid injury surveillance and follow-back system known as the National Electronic Injury Surveillance System (NEISS). Weakly Supervised Object Detection. Since surveillance and privacy protection have contradictory objectives, the. 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. These are ideal benchmark datasets, as the trees, WGS data, and epidemiological data for each are all in agreement. Schneider and D. In total, the dataset consists of 48 video sequences and 64,204 face images. The protocols describe the method for creating the datasets allowing both replication and updating. cervicornis). One paper has estimated that 600,000 cameras in the Chinese city of Tianjin create 50 petabytes of data every day. 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. Ferryman, "Pets 2016: Dataset and. Please click on the video surveillance readings page. ViPER is our system for evaluating our work. In that case, we can train our object detector to generally recognize our targets from normal images. As a Premium user you get access to the detailed source references and background information about this statistic. - The fire and smoke detection system works in real-time by analyzing the video data captured by an ordinary surveillance camera and a frame grabber. Provides access to statistical information produced by U. Currently dominating viruses point at possible heavy impact on the elderly and healthcare systems, warns ECDC and WHO joint assessment. DATASET MODEL METRIC NAME A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis. The Caltech dataset consists of a dominant set of images where the pedestrian objects are ~50 to ~70 in pixel size,. The surveillance data presented in this report were validated by all provinces and territories to ensure accuracy. TRaffic ANd COngestionS (TRANCOS) dataset. One of the first extensions to this work would be to simply gather additional training data, and more specifically, images/frames that are not. Large volumes of videos are continuously recorded from cameras deployed for traffic control and surveillance with the goal of answering “after the fact” queries: identify video frames with objects of certain classes (cars, bags) from many days of recorded video. Daimler Pedestrian Segmentation Benchmark Dataset. 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. 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. The videos were created by compositing different video textures together into a template with 2, 3, or 4 segments. We use a consumer-grade camera with a built-in microphone to acquire data for this purpose. The characteristics of the benchmark datasets are presented, and major applications of human detection in surveillance video are reviewed. The dataset includes 750 face videos of 50 users captured while using a smartphone by its front-facing camera. Kalsotra, S. 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. Object Detection. 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. 39K training and 10K test images from each sensor. KnowIT VQA is a video dataset with 24,282 human-generated question-answer pairs about The Big Bang Theory. surveillance swales The dataset is updated every hour with new data. PROVID Progressive and Multi-modal Vehicle Re-identification for Large-scale Urban Surveillance View on GitHub Abstract. LICENSE The PKU-VD datasets are now partly made available for the academic purpose only on a case-by-case basis. JAAD dataset contains 346 high-resolution video clips (most are 5-10 sec) extracted from approx. The NCAA Injury Surveillance System (ISS) was first developed in 1982 to provide current and detailed injury statistics for college-level athletics. It has a wide array of practical applications - face recognition, surveillance, tracking objects, and more. Our system runs at an impressive average rate of 125 frames per second on a conventional laptop computer. Currently dominating viruses point at possible heavy impact on the elderly and healthcare systems, warns ECDC and WHO joint assessment. surveillance video dataset (USVD) with congested and com-plex scenarios for multiple-object tracking and anomaly be-havior analysis. Two types of 3D models for each object - a manually created CAD model and a semi-automatically reconstructed. Survey begins with video surveillance analysis in general perspective, and then finally moves towards crowd analysis. RealPlayer file. Here are links to the boxes on this Free Datasets subpage. Duke MTMC (Multi-Target, Multi-Camera) is a dataset of surveillance video footage taken on Duke University's campus in 2014 and is used for research and development of video tracking systems, person re-identification, and low-resolution facial recognition. That is our vision. From acquiring and managing the vast datasets recording our daily lives to providing analytic software and services on top of that data, much of what we think of as government surveillance is. Developing automated video-surveillance systems is attracting huge interests for monitoring public and private places. 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. Big Data intensifies certain surveillance trends associated with information technology and networks, and is thus implicated in fresh but fluid configurations. 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. Based on Medicare claims - Vision and Eye Health Surveillance Publishing to the public requires approval This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, gender, and state. VideoThe drones will be on the lookout for sharks and any other danger. About: The purpose of this project is to count the number of people passing through a specific scene. To the best of our knowledge, it is to-date the largest and most realistic public dataset for real video surveil-lance. Introduce an indexed dataset containing surveillance videos recorded in a real public institution (Scouter DB ). Due to these challenges, the researchers from computer vision community focused on automation of the surveillance system. Long-term Pedestrian Dataset. Surveillance videos are able to capture a variety of realistic anomalies. Active Confirmed Deaths Recovered. It has become a benchmark dataset for the computer vision community. Datasets of Normal Crawl. The benchmark dataset consists of 400 video clips formed by 265,228 frames and 10,209 static images, captured by various drone-mounted cameras, covering a wide range of aspects including location (taken from 14 different cities separated by thousands of kilometers in China), environment (urban and country), objects (pedestrian, vehicles. 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. There are a total of 136,726 images capturing the entire cars and 27,618 images capturing the car parts. As the accelerated expansion of surveillance network and the followed continuous improvement on the labor cost of manual monitoring, how to take full advantage of the intelligent video surveillance system to realize automatic detection of traffic accidents, robberies, thefts, violent fights, illegal trespasses and other anomaly events has become a research hotspot in the field. Airborne Surveillance Command and Control (ASC2) Research Platform Metadata Updated: March 8, 2017 FUNCTION:Acts as a surrogate for carrier-based surveillance, engagement, communication relay, combat identification, and command-and-control capable assets of the evolving family of systems warfare architecture. Our dataset provides a diverse set of videos. 3DPES - PEople Surveillance. They have been selected to cover a wide range of scene background modeling challenges and are representative of typical indoor and outdoor visual data captured today in surveillance, smart environment, and video database scenarios. constrained, indoor video surveillance dataset referred to as the MSU Audio-Video Indoor Surveillance (MSU-AVIS) dataset. HOHA1 dataset consists of video samples covering eight actions – answering phone, getting out a car, hand shaking, hugging, kissing, sitting down, sitting up, and standing up – from 32 movies, and HOHA2 contains video samples covering 12 actions – answering phone, getting out a car, hand shaking, hugging, kissing, sitting down, sitting up, standing up, driving car, eating, fighting, and running – and 10 classes of scenes from 69 movies. It is too small. Such capability may be extremely useful in some video surveillance scenarios like in prisons, psychiatric or elderly centers or even in camera phones. real-world surveillance video. Fetching contributors. 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. In this part This part contains the following topics: Topic See Page Summary of Functions 2-2. This information is represented in the database as variables. The California Department of Public Health (CDPH), Office of AIDS (OA) conducts the U. 5 hours of videos: This is a video surveillance data for human activity/event detection. It has become a benchmark dataset for the computer vision community. Long-term Pedestrian Dataset. BAUM-2: A multilingual audio-visual affective face database consisting of 1047 video clips of 286 subjects. The dataset includes videos collected from both stationary ground cameras and moving aerial vehicles. 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. The US government operates the largest and most advanced spying, surveillance, and data collection programs on the planet. Read the details on Changes in the April 2020 SEER Data Release. SentiVeillance SDK is designed for developing software that performs biometric face identification, detects moving pedestrians or vehicles or other objects and performs automatic license plate recognition using live video streams from digital surveillance cameras. Age-adjusted death rates (per 100,000 population) are based on the 2000 U. W not slot machine game device and rheology, video slot product matches meant for happiness use just. The Brackish Dataset. MMSPG Mini-drone Video Dataset : Built to improve drone-based surveillance, this research dataset contains 38 HD videos. Remote Video Surveillance System Upgrade Master Dataset Metadata Updated: December 2, 2019 Video imaging from remote controlled system that can monitor and record large expanses of the Southern border from fixed locations. A large-scale benchmark dataset for event recognition in surveillance video. ) and sensor types (mono, color, near-IR, thermal, etc. Subjects include health, crime, population, finance, industry, and marketing. In this paper, we introduce VIRAT Video Dataset which is a new large-scale surveillance video dataset designed to assess the performance of event recognition algorithms in realistic scenes1. We list below existing surveillance face recognition 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. 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. 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. cameras and associated hardware and software. A large-scale benchmark dataset for event recognition in surveillance video. 4 questions on average) per image. In addition we also mine existing movie scripts, pre-align them automatically, simi-lar to [14,45] and then manually align the. It is recorded by a stationary camera. Test 005 of UCSDped1 dataset shows two bicycles passing the walkway, one at the beginning and the other at the end of the video. The video resolution is 800x600. VIDEO DATABASES Images were taken in uncontrolled indoor environment using five video surveillance cameras of various qualities. for training and evaluating object detection methods for self-driving cars on freeways. This page describe a Collective Activity Dataset. MIT traffic data set is for research on activity analysis and crowded scenes. The LV dataset: A realistic surveillance video dataset for abnormal event detection. Our dataset provides a diverse set of videos. 5 hours of videos: This is a video surveillance data for human activity/event detection. This dataset can be used in multiple ways, we are explicitly showcasing the following ones: fine-grained recognition of vehicles and camera calibration including the scale. Mortality - Quarterly Provisional Estimates. AXIS Companion is a premium quality surveillance solution, tailored to the needs of small systems. A large vehicle detection dataset with almost two million annotated vehicles. 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. Resize each video frame to 240*320 pixels and fix frame rate at 30fps. Most people agree: this kind of widespread, deep surveillance is justified when there is a compelling need to protect lives and accomplish the mission on a foreign battlefield, and when the subjects of surveillance are not Americans. They can be summaries of larger reports published in the grey literature and, increasingly, may link to a complete surveillance dataset. Training and validation contains 10,103 images while testing contains 9,637 images. 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. Here are links to the boxes on this Free Datasets subpage. 2: Reactions on the increase in video surveillance, from [24] As it can be seen on figure 2. Provides access to statistical information produced by U. Those three with low (1), medium (2) and high (3) levels, forming a total of 10 conditions (including Pristine videos). Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. IP Cameras Indoor, Vandal Resistant, Weather Resistant. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): 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 the probe set, 12 images per person. A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video. Whether it’s businesses monitoring stores, homeowners protecting their personal property, or law enforcement identifying criminal behavior,. The UK's mass surveillance regime has broken the law (again) The UK government's bulk interception of data was against human rights, the European Court of Human Rights has ruled. A large-scale benchmark dataset for event recognition in surveillance video. SCface - surveillance cameras face database Mislav Grgic & Kresimir Delac & Sonja Grgic Published online: 30 October 2009 # Springer Science + Business Media, LLC 2009 Abstract In this paper we describe a database of static images of human faces. MMSPG Mini-drone Video Dataset : Built to improve drone-based surveillance, this research dataset contains 38 HD videos. Yelp Open Dataset: The Yelp dataset is a subset of Yelp businesses, reviews, and user data for use in NLP. Our approach based on two types of fea-tures for detecting anomaly events. Object detection methods try to find the best bounding boxes around objects in images and videos. Here are links to the boxes on this Free Datasets subpage. Contract between the London Borough of Barnet and OCS Group UK Ltd for the provision of a CCTV Service. Flohr and D. Mortality - Compressed. Large scale visual surveillance generates huge volumes of data at a rapid pace, giving rise to massive image repositories. Kindergarten Video Surveillance: The dataset consist of the about 50 hours obtained from kindergarten surveillance videos. Create maps and reports from data you select from over 640 datasets. (CamNeT) dataset, specially designed for the problem of multi-target tracking. 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. "A Dataset for Airborne Maritime Surveillance Environments. Overview We collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions using existing technologies. Abnormal Human Activity Recognition in Video Surveillance Assi, W. Kalsotra, S. Section 1 gives an introductory part, the importance of video surveillance system, recent advancement and general framework of video surveillance. We list below existing surveillance face recognition datasets. Several multi-camera dataset for detection and tracking of multiple pedestrians captured within our laboratory. More extensive comparisons of face recognition datasets can be found in the paper. 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. MARKET & TRADE SURVEILLANCE. News and publications. Mortality - Occupational. IRIS computer vision lab is a unit of USC’s School of Engineering. The dataset is collected as follows: 1) Surveillance video. TRaffic ANd COngestionS (TRANCOS) dataset. The Video Surveillance Report 2019 examines several paradigm shifts transforming the potential of network. The overall platform will be tested for video surveillance systems for public security. to prevent terrorism, theft, accidents and. Mount retail security cameras directly above or near your store's entrance(s) and exit(s) to monitor the flow of customers and employees. 2| Tufts-Face-Database. Two-Stage Object Detection. TRAINING: We input these features (4096D) to a 3-layer FC neural network. Acoustic Datasets for Machine Learning. The zip file comprises the videos, ground truth (ROI – level) and timestamps. This dataset contains video of a pedestrian using a crosswalks. Leyva, R, Sanchez, V & Li, CT 2017, The LV dataset: A realistic surveillance video dataset for abnormal event detection. NVR 4 Channel, 8. 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). DataSet for machine vision training Here you can download the dataset prepared for machine vision traning. The protocols describe the method for creating the datasets allowing both replication and updating. 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. 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. Video was kindly provided by Marilyne Brosseau, Jean-Simon Bourdeau and Nicolas Saunier. 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. 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. avi (the test dataset). 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'. To our knowledge, this is the first publicly available dataset of video sequences in a maritime surveillance scenario,. php(143) : runtime-created function(1) : eval()'d code(156) : runtime-created. robberies, accidents, fires – in surveillance video as soon as they occur (online performance or hard real time performance). Compared to existing action recognition datasets, FineGym is distinguished in richness, quality, and diversity. Datasets External Datasets Files and Documents 2018od4a-video budget kpi nyc behavioral risk factor surveillance system. In this paper, we focus on reliable cues for early detection of violence in such settings. The purpose of this document is to provide an overview of standards in video surveillance, including the need for standards, an overview of existing relevant standardisation efforts including gaps, and a roadmap for future standards development. 14% rank-1 recognition rates, respectively. The recording of portal 1 and portal 2 are one month apart. The combined YRBS dataset includes national, state and large urban school district data from selected surveys from 1991-2017. This chapter is organized into the following sections. A learning dataset to be of high quality and reliability must contain a large number of images where objects are displayed in different ways, on different. However, a limited number of aerial video datasets are available to support increased research into aerial human action analysis. The videos contain similar text and the text contains digits from 1 to 20 recited by 67 different subjects using the same experimental setup. CRCP-Surveillance of wild and outplanted A. Our crawler uses a breadth-first search to find videos in the graph. Tampered Video Dataset. 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. ViPER is our system for evaluating our work. Section 2, discusses different benchmark pedestrian datasets used to compare the different methods of pedestrian detection and tracking. The conventional version of this story suggests that the United States is at a disadvantage because of. Apple Quicktime file. We use a consumer-grade camera with a built-in microphone to acquire data for this purpose. Benchmarks. Introduced: WACV 2017 Device: Primesense Carmine 1. 11, in a video interview with Vice TV last week. One paper has estimated that 600,000 cameras in the Chinese city of Tianjin create 50 petabytes of data every day. Popular Datasets. Forest Fires Data Set Download: Data Folder, Data Set Description. Through the visual surveillance, human activities can be monitored in sensitive and public areas such as bus stations, railway stations, airports, banks, shopping malls, school and colleges, parking lots, roads, etc. by Hyeseung Park, Seungchul Park * and Youngbok Joo. real-world surveillance video. TRAINING: We input these features (4096D) to a 3-layer FC neural network. UQ_VIDEO dataset. implemented in the surveillance system to assist the protection of people, facilities, and areas. 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. SPEVI Datasets This page provides publicly available benchmark datasets for testing and evaluating target tracking algorithms for surveillance-related applications. DIEM Project (2011) Eye movement data from up to 42 participants for 85 videos. Detecting moving and stationary vehicles at signalized intersections, TrafiCam x-stream2 transmits vehicle presence information to a traffic controller via detection outputs or TCP/IP communication for adaptive and responsive signal timing. More extensive comparisons of face recognition datasets can be found in the paper. anomaly detection and localization can be broken down into two sub-problems: 1) how to characterize crowd behaviors, and 2) how to measure the "anomaly score" of a specific behavior. SEER is supported by the Surveillance Research Program (SRP) in NCI's Division of Cancer Control and Population Sciences (DCCPS). Acoustic scenes table contains datasets suitable for research involving the audio-based context recognition and acoustic scene classification. on Advanced Video and Signal Based Surveillance (AVSS), 2006. Augment dataset with different surveillance footage Validation 2 Accuracy 0. This is part of the fast. It’s made up of multiple law enforcement and intelligence agencies, some of which operate in secret. Set of video-based and multimodal traffic surveillance datasets. The federal government, of course, consists more than two dozen major agencies. They have been selected to cover a wide range of scene background modeling challenges and are representative of typical indoor and outdoor visual data captured today in surveillance, smart environment, and video database scenarios. 98 False Positive Rate on Test 0. 3DPES - PEople Surveillance. Free datasets by category: Census & Vital Statistics, Children, Community Development, Criminal Justice, Economic, Education, Elderly, General/Multidisciplinary, Health, Religion, Social. The resolution is half-resolution PAL standard (384 x 288 pixels, 25 frames per second) and compressed using MPEG2. Large volumes of videos are continuously recorded from cameras deployed for traffic control and surveillance with the goal of answering “after the fact” queries: identify video frames with objects of certain classes (cars, bags) from many days of recorded video. Once again sponsored by IDIS, the report’s fifth annual edition is based on a survey of 321 professionals involved in the supply chain for physical security systems. Monika reminds you of how to access BRFSS documentation and provides details about how the data were collected that can impact your analysis. The size of the scene is 720 by 480. Sample annotated image from our dataset. 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. Most people agree: this kind of widespread, deep surveillance is justified when there is a compelling need to protect lives and accomplish the mission on a foreign battlefield, and when the subjects of surveillance are not Americans. We believe AI has an important role to play. Department of Health and Human Services' Centers for Disease Control and Prevention (CDC), Medical Monitoring Project (MMP), a surveillance project designed to produce nationally representative data about the health-related experiences and needs of persons living with HIV (PLWH) in the United States and California. The web-nature data contains 163 car makes with 1,716 car models. 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] To our knowledge, it is the largest UAV-based vehicle ReID dataset. , dark, fog, rain,…). Name: cVSG Dataset Description: The Chroma Video Segmentation Ground Truth (cVSG) is a corpus of video sequences and segmentation masks. AppendiXNet was pretrained on a large collection of YouTube videos called Kinetics, consisting of approximately 500,000 video clips and annotated for one of 600 human action classes, and then fine. We explore the performance of a number of state-of-the-art video anomaly detection methods on the LV dataset. We propose in this paper an approach for producing video summaries, an abbreviated video preserving the important elements of interest. The objective of a visual The dataset consists of 315 video sequences. Conclusion: Try multiple datasets like the CUHK avenue dataset , UMN datase t, or even gather your own data using a surveillance camera or a small camera in your room. One paper has estimated that 600,000 cameras in the Chinese city of Tianjin create 50 petabytes of data every day. ; Onufriev, V. We label 1,112 vehicle models and 11 colors. uk/research/projects/VideoRec/CamVid/; CamSeq01 Dataset: mi. 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. The web-nature data contains 163 car makes with 1,716 car models. Duncan Nathan Kalka yTim Miller Charles Otto yAnil K. Campaign Action The right to privacy used to be a natural expectation. COVID-19 Surveillance Dashboard 1. 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. 24, Dense Surveillance Systems for Urban Traffic, pp. Previous datasets for action recognition are unrealistic for real-world surveillance because. That is our vision. PANDA Dataset Introduction PANDA is the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale, long-term, and multi-object visual analysis. of Toronto; Indoor Datasets. The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. In total, the dataset consists of 48 video sequences and 64,204 face images. Abnormal Surveillance Crowd Moving Noise (ASCMN) (2012) Eye movement data from 13 participants for 24 surveillance-type videos. Person Detection Dataset (PD-T) Diverse outdoor phenomena effects and persons in outdoor soccer filed, captured by thermal cameras. Video Recognition Project. to prevent terrorism, theft, accidents and. The HDA dataset is a multi-camera high-resolution image sequence dataset for research on high-definition surveillance. More Options. YouTube-8M Segments was released in June 2019 with segment-level annotations. Visual privacy protection, i. It is divided into 20 clips and can be downloaded from the following links. 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. Masoud, and N. I am looking for a video data set. 2014 - Lund University/McGill University/Polytechnique Montréal - Single/multicamera. First type is. gov or call 1-800-CDC-INFO (1800-232-4636). (2012) A database for person re-identification in multi-camera surveillance networks. One paper has estimated that 600,000 cameras in the Chinese city of Tianjin create 50 petabytes of data every day. IP Cameras Indoor, Vandal Resistant, Weather Resistant. This location provides a clear view of each person coming in and out your storefront. The dataset was made using the publicly available video surveillance cameras of the "Dirección General de Tráfico of Spain". Ucf Crime Dataset Github. Kylberg Texture. 122 Cities Weekly Mortality (Archive) Denotes numerical data available to query or download. Intelligent Visual Observation of Animals and Insects (6 datasets) For a survey, please see: R. Enabled by a vast network of cameras across the country, the government is using the technology for surveillance. At test time, given a video sequence captured by a fixed camera, a small number of detectors is automatically selected per image loca-tion. In addition, distorted videos were exported in three different qualities according to the. → Surveillance Solutions. This page is divided into four sections: Head Tracking , Coarse Gaze Estimation , Applications and Datasets. There is, however, an alternative between using traditional quantitative methods and investing in gathering data from a plethora of devices. The size of the scene is 720 by 480. The copied object is cloned into another part of the same video, after possible transformations. The youtube 8M dataset is a large scale labeled video dataset that has 6. USC: A number of fairly small pedestrian datasets taken largely from surveillance video. Introduction The Test dataset contains the data for the WHO STEPS Instrument for Epi Info Training. Help & Glossary. scale video benchmark for human activity understanding. php(143) : runtime-created function(1) : eval()'d code(156) : runtime-created. The University of Sussex-Huawei Locomotion (SHL) dataset is a versatile annotated dataset of modes of locomotion and transportation of mobile users. To learn a model, necessary is to choose an adequate learning dataset. However, the previous detection methods usually extract descriptors around the spatiotemporal interesting points or extract statistic features in the motion regions, leading to limited abilities to effectively detect video-based. COVID-19 Surveillance Dashboard 1. The dataset was made using the publicly available video surveillance cameras of the "Dirección General de Tráfico of Spain". All the vehicles in the GRAM-RTM dataset have been manually annotated. Laptev et al. UCF-Crime dataset is a new large-scale first of its kind dataset of 128 hours of videos. This is question of the general increase in video surveillance. Survey Resources. Video Surveillance Readings. quirements, in this work we present a significant dataset [10] to enable more reproducible and comparable research for aerial surveillance in maritime surveillance scenarios. Four fingerprint databases constitute the FVC2000 benchmark (3520 fingerprints in all). To our knowledge, this is the first publicly available dataset of video sequences in a maritime surveillance scenario,. To our knowledge, it is the largest UAV-based vehicle ReID dataset. Our dataset is mainly for the wild scene, composed from the video shot through video surveilance cameras in lookout towers. One paper has estimated that 600,000 cameras in the Chinese city of Tianjin create 50 petabytes of data every day. Choose a dataset below that interests you to begin exploring the data behind TBI. 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. However, while many datasets are available for testing performance of various video analytics, little to nothing exists for evaluation of visual privacy tools. 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. Forest Fires Data Set Download: Data Folder, Data Set Description. Zero-Shot Object Detection. gov for additional details. 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. The applications of this project include civilian surveillance, pedestrian tracking, pedestrian counting, etc. The detection range is four times farther than typical headlights. The following categories are provided: car, truck, van, and big-truck.  18 cameras (including VGA, HD and Full HD resolution) were recorded simultaneously during 30 minutes in a typical indoor office scenario at a busy hour (lunch time) involving more than 80 persons. the video, we manually align each sentence to the movie. Can anyone suggest a standard video dataset for face detection and recognition where the video contains 3-4 persons? The dataset should be a video dataset. As new research problems emerge, new controlled datasets must also be produced. 2011 to present. Scale: The BEST benchmark contains over one million surveillance images and more than 1000 surveillance video clips or more than 100 thousands images. 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. ) Integration of background substraction. UT-Interaction, UT-Tower, and UCR-Videoweb are the names of the datasets used in each challenge. Welcome to the National Electronic Injury Surveillance System For more than 45 years, the CPSC has operated a statistically valid injury surveillance and follow-back system known as the National Electronic Injury Surveillance System (NEISS). A large vehicle detection dataset with almost two million annotated vehicles. 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. To the best of our knowledge, it is to-date the largest and most realistic public dataset for real video surveil-lance. We introduce a large-scale dataset of real-life surveillance scenarios for crowd counting tasks, which consists of 13,945 manually annotated images of more than 500,000 human head dot annotations. Figure 1 offers a glance at the RFW-2000 dataset. In the probe set, 12 images per person. It contains 1,732 identities captured by a Canon 7D camera fitted with Sigma 800mm F5. Standardized data recoding procedures were applied to all submitted provincial and territorial datasets to create a national dataset for analysis. Annotations are collected using a novel `live. 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 following image count and average area are calculated only over the training and. Tracking with Multiple Cameras for Video Surveillance M. Can anyone suggest a standard video dataset for face detection and recognition where the video contains 3-4 persons? The dataset should be a video dataset. Contract between the London Borough of Barnet and OCS Group UK Ltd for the provision of a CCTV Service. The Rawseeds Project. One of the first extensions to this work would be to simply gather additional training data, and more specifically, images/frames that are not. Policy surveillance is the systematic, scientific collection and analysis of laws of public health significance. , the time between when the death occurred and when the data are available for analysis) is longer for drug overdose deaths compared with other causes of death (1). States A-M (zip) States N-Z (zip) Districts (zip) Combined Datasets User's Guide. 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. The size of the scene is 720 by 480. RealPlayer file. 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. 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. The primary purpose of NEISS is to collect data on consumer product-related injuries occurring in the United States. Flohr and D. The KTH dataset is introduced later in this paper (see Section 8. Robo-kitchen datasets Daily kitchen activities dataset. The depiction of abnormality varies from application to application basis. Hospital security cameras are an absolute necessity to prevent dishonest claims, improve worker productivity, and increase overall safety and security. Sample annotated image from our dataset. CrowdHuman contains 15000, 4370 and 5000 images for training, validation, and testing, respectively. Robicquet, A. AVA: A Video Dataset of Atomic Visual Action- 80 atomic visual actions in 430 15-minute movie clips. Intelligent Visual Surveillance of Human Activities (31 datasets) 2. The FLIR TrafiCam x-stream2 combines a digital camera and video detector into a single vehicle presence sensor. 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. Citation If you find this dataset useful, please cite this paper (and refer the data as Stanford Drone Dataset or SDD): A. Per-user presence/absence label data on 12 attributes, used to discover "shades of meaning" of attributes. php(143) : runtime-created function(1) : eval()'d code(156) : runtime-created. Labeling interface As you can see from the image, the annotation process was very straightforward: workers were presented with video-verb pairs and asked to press a Yes or No key responding. 3 Dataset The majority of widely used, publicly-available datasets in action recognition, such as KTH [13], focus on single actors performing a simple action like walking,. Robo-kitchen datasets Daily kitchen activities dataset. A large vehicle detection dataset with almost two million annotated vehicles for training and evaluating object detection methods for self-driving cars on freeways. USC: A number of fairly small pedestrian datasets taken largely from surveillance video. 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. DATASET MODEL METRIC NAME Real-world Anomaly Detection in Surveillance Videos. Each video file is a 5-second video clip with 30 fps. traffic surveillance video dataset. A person who enters to a premises can be uniquely identified via CCTV video streams through detecting his/her face. constrained, indoor video surveillance dataset referred to as the MSU Audio-Video Indoor Surveillance (MSU-AVIS) dataset. Apart from those images, the dataset also includes over 3. The first biometric dataset automatically acquired in a real-surveillance scenario! Gallery Data The Quis-Campi dataset gathers biometric data acquired from over 320 participants, including high-quality registration images (a) along with 6 videos of the gait sequence filmed under different angles (b), as well as a 3D model of the face (c). EPA Facility Registry Service (FRS): Facility Interests Dataset. Kalsotra, S. YouTube-8M Segments was released in June 2019 with segment-level annotations. 246 video clips (320 × 240 pixels image resolution) are assembled on this dataset with 123 violent samples and 123 non-violent ones. There are a total of 136,726 images capturing the entire cars and 27,618 images capturing the car parts. 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 ). surveillance swales The dataset is updated every hour with new data. The datasets are divided into three categories - Image Processing, Natural Language Processing, and Audio/Speech. In this paper, we propose to learn anomalies by exploiting both normal and. to prevent terrorism, theft, accidents and. Our dataset consists of many outdoor scenes with actions occurring naturally by non-actors in continuously captured videos of the real world. of recent PETS workshops are as follows. To our knowledge, it is the largest UAV-based vehicle ReID dataset. In this paper, we focus on reliable cues for early detection of violence in such settings. Section 2, discusses different benchmark pedestrian datasets used to compare the different methods of pedestrian detection and tracking. PASCAL: Static object dataset with diverse object views and poses. Current systems for processing such queries on large video datasets incur either high …. Indoor Multi-Camera Datasets. 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. Edward Richards or Julie Bernauer of NVIDIA are the people to ask about the video database. Non-Maximum Suppression (NMS) Adversarial Examples. Field Monitors Composite, HDMI, RCA, VGA. Your information will not be given to any. Contains: Highway (maybe only) Size: 1244 images. Datasets have been developed for movies [11] and sports [12], but, these actions and scene conditions do not apply effectively to surveillance videos. for training and evaluating object detection methods for self-driving cars on freeways. Our dataset consists of many outdoor scenes with actions occurring naturally by non-actors in continuously captured videos of the real world. Trecvid is an annual competition, and a workshop is organized which summarizes submitted methods and results. BRFSS combined land line and cell phone prevalence data. AAU RainSnow Traffic Surveillance Dataset: Instance-level annotations of road users in RGB and thermal video. 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). 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. Hospital security cameras are an absolute necessity to prevent dishonest claims, improve worker productivity, and increase overall safety and security. This paper introduces an urban surveillance video dataset (USVD) which is by far the largest and most comprehensive. In the probe set, 12 images per person. Data, Surveillance, and the AI Arms Race. Person Detection Dataset (PD-T) Diverse outdoor phenomena effects and persons in outdoor soccer filed, captured by thermal cameras. → Automotive Solutions. The NCAA Injury Surveillance System (ISS) was first developed in 1982 to provide current and detailed injury statistics for college-level athletics. Data Collection The main goal of data collection is to cover videos of various scenes. One of the first extensions to this work would be to simply gather additional training data, and more specifically, images/frames that are not. Bring state-of-the-art deep learning to your surveillance application. The protocols describe the method for creating the datasets allowing both replication and updating. Indoor Multi-Camera Datasets. Set of video-based and multimodal traffic surveillance datasets. Flohr and D. Datasets of Normal Crawl. Facial recognition technology became part of the fabric of life in China in 2019. Journal of Intelligent Transportation Systems: Vol. IP Cameras Indoor, Vandal Resistant, Weather Resistant. Neural Image Toolbox provides a high level of monitoring automation and system level operator classes are provided on demand. 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. The main contribution of this work is assembling a multimodal (face and voice), semiconstrained, indoor video surveillance dataset referred to as the MSU Audio-Video Indoor Surveillance (MSU-AVIS) dataset. A large-scale benchmark dataset for event recognition in surveillance video. Introduced: WACV 2017 Device: Primesense Carmine 1. (Google Machine Perception Research Group) [Before 28/12/19] BBDB - Baseball Database (BBDB) is a large-scale baseball video dataset that contains 4200 hours of full baseball game videos with 400,000 temporally annotated activity segments. The Company designs and manufactures autonomous lighter-than-air (LTA) unmanned aerial vehicles. - Computational complexity of the software is low, streams from up to 16 cameras can be analyzed at the same time. FreeNAS is the simplest way to create a centralized and easily accessible place for your data. EURACTIV Germany reports. At test time, given a video sequence captured by a fixed camera, a small number of detectors is automatically selected per image loca-tion. Please find data links below, together with the associated papers. 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. MIT traffic data set is for research on activity analysis and crowded scenes. Given the never-ending power offered by vehicles to a metropolis, exploiting vehicle traffic to design camera placement strategies could potentially facilitate physicalworld security surveillance. While the study doesn’t cover body-worn cameras, it evaluates the uses of face recognition with video in other surveillance scenarios, such as transportation hubs, asylum claims, immigration. MARKET & TRADE SURVEILLANCE. 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. Keywords-Large-scale learning, object retrieval, video surveillance I. The dataset consists of 16 scenes captured in 7 typical outdoor scenarios: street, crossroads, hospital entrance, school gate, park, pedestrian mall, and public square. WONDER online databases utilize a rich ad-hoc query system for the analysis of public health data. The dataset is collected as follows: 1) Surveillance video. 2: Reactions on the increase in video surveillance, from [24] As it can be seen on figure 2. LICENSE The PKU-VD datasets are now partly made available for the academic purpose only on a case-by-case basis. (Google Machine Perception Research Group) [Before 28/12/19] BBDB - Baseball Database (BBDB) is a large-scale baseball video dataset that contains 4200 hours of full baseball game videos with 400,000 temporally annotated activity segments. Kylberg Texture. CVPR 2018 • Waqas Sultani • Chen Chen • Mubarak Shah. 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. - Computational complexity of the software is low, streams from up to 16 cameras can be analyzed at the same time. Sample annotated image from our dataset. We label 1,232 vehicle models and 11 colors. The applications of this project include civilian surveillance, pedestrian tracking, pedestrian counting, etc. robberies, accidents, fires – in surveillance video as soon as they occur (online performance or hard real time performance). Our approach based on two types of fea-tures for detecting anomaly events. Virat video dataset ~8. The proposed dataset is composed by 3 different sequences of audio-video data, collected with the DualCam device in both indoor and outdoor scenarios:. 2| Tufts-Face-Database. Fetching contributors. Reviewed papers cover wide variety of applications. NVR 4 Channel, 8. Now, the camera's lens is turning its focus to American citizens. Visual Rain dataset: Rain level estimation from traffic surveillance video. Tracking with Multiple Cameras for Video Surveillance M. The Cell: An Image Library. VD1: There are total 1,097,649 images in the dataset. Current video datasets used for face recognition are often. Field Monitors Composite, HDMI, RCA, VGA. 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. Vallee, and J. Labeling interface As you can see from the image, the annotation process was very straightforward: workers were presented with video-verb pairs and asked to press a Yes or No key responding.