The first part is presented as real surveillance videos, where the first part covers a large surveillance time (7 days with 24 hours each). Thus this dataset can be used to evaluate world coordinate tracking methods designed for use on road users seen in surveillance … By leveraging this dataset, researchers and engineers can advance real-time object detection, traffic surveillance systems, and intelligent transportation solutions. … Road Accident Detection From Surveillance Videos BKU Team 2018 An implementation and a modified version of Real-world Anomaly Detection in Surveillance Videos (Sultani, Waqas and … Video datasets. We were unable to find any … However, deep learning models are often constrained by the scale and distribution of their training datasets. However, the unavailability of benchmark dataset of real traffic videos is the … The proposed model has been trained using the open-source dataset Crash Car Detection Dataset, and its produced precision, recall, … To fulfill the above urgent need, we endeavor to collect abundant video data of real traffic accidents and propose a large-scale … Bellevue Traffic Video Dataset The Bellevue Traffic Video Dataset consists of approximately 101 hours of 1280x720 30Hz videos taken from five traffic intersections in the City of Bellevue, … GitHub is where people build software. The data includes diverse times, weather conditions (sunny, cloudy, rainy, snowy), and multiple recording devices. These videos were sourced from CCTV came as at … In the recent past, a huge number of cameras have been placed in a variety of public and private areas for the purposes of surveillance, the … Original 62GB Dataset by EPFL[Reduced to ~10GB] For Kaggle 1. A new Annotated Virtual … The Multi-view Traffic Intersection Dataset (MTID) is a traffic surveillance dataset containing footage of the same intersection from multiple points of … To address this issue, we propose a new research direction of surveil-lance video-and-language understanding (VALU), and con-struct the first multimodal surveillance video dataset. Wide range of resolution and frame rates: Many applications such as video surveillance operate across a wide range of spatial and temporal … The dataset includes an extensive collection of images from traffic surveillance cameras installed in Montreal, Quebec, Canada, during the winters of 2022 and 2023. We collect live … To address this issue we propose a new research direction of surveillance video-and-language understanding (VALU) and construct the first multimodal surveillance video dataset. Real-Time Traffic Video Dataset provides extensive video streams from urban and highway traffic cameras, supporting traffic monitoring and … Dataset comprises 500 videos of urban traffic captured by surveillance cameras, providing real-time traffic data enriched with bounding box … It differentiates itself from existing datasets by capturing the global complexity of road events with varied geographies, camera viewpoints (CCTV, … This paper introduces TU-DAT, a novel, freely downloadable computer vision dataset for analyzing traffic accidents using roadside … These include data from one 4-way and two 3-way intersections, and more than 800 minutes of video per data set. Contribute to xiaobai1217/Awesome-Video-Datasets development by creating an account on GitHub. Our Car … First, we collect abundant real-world video clips containing various potential abandoned object categories on the road from our commercial ITS, then assemble a road abandoned object … Contains Videos for 13 different Class of Anomalies and Normal Events. The dataset … Our aim is to resolve the lack of public data for research about automatic spatio-temporal annotations for traffic safety in the roads. Next, the baseline for highway accident detection and … We used the CADP dataset for videos containing accidents and the DETRAC dataset which was originally for object detection of vehicles, as our videos not containing accidents. The released dataset is hosted on our team's … Traffic Videos Collection for vechicle detectionSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Given one or more training videos from a single scene containing only normal (non-anomalous) events, detect anomalous … The main aim of this dataset is to enable detection of traffic congestion from surveillance cameras using one-stage object detectors. A dataset from the University of Central Florida (UCF) Crime video … Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped … Closed-Circuit Television (CCTV) systems have become ubiquitous in modern society, playing a crucial role in security, … Improve Highway Traffic Videos Dataset analysis dataset. , Shao, X. In this study, a conceptual framework is proposed for the development of a video surveillance-based system for improving road safety.