Anomaly detection in traffic surveillance videos using deep learning

SW Khan, Q Hafeez, MI Khalid, R Alroobaea… - Sensors, 2022 - mdpi.com
… successful detection of traffic accident events with an accuracy of 82% in the traffic surveillance
… The GSM module allows transmission between mobile phones, the accident detection

[引用][C] A Vision-Based System Design and Implementation for Accident Detection and Analysis via Traffic Surveillance Video

CH Veena, M Swathi, M Harini, M Rujula - Lampyrid: The Journal of Bioluminescent …, 2023

Vision-based real-time traffic accident detection

F Jiansheng - Proceeding of the 11th world congress on …, 2014 - ieeexplore.ieee.org
… In most cases of traffic accidents, secondary accidents could be averted if only … to detect
traffic accidents without delay and warning the following vehicles. Nowadays, traffic surveillance

Ai on the road: A comprehensive analysis of traffic accidents and accident detection system in smart cities

V Adewopo, N Elsayed, Z Elsayed, M Ozer… - arXiv preprint arXiv …, 2023 - arxiv.org
… using data from the National Highway Traffic Safety Administration (NHTSA) Crash … accident
detection and traffic analysis, this paper proposes a framework that uses traffic surveillance

[HTML][HTML] Traffic accident detection method using trajectory tracking and influence maps

Y Zhang, Y Sung - Mathematics, 2023 - mdpi.com
… a traffic accident detection method that helps to determine whether each frame shows accidents
… rapid development of intelligent surveillance traffic systems, collecting and storing traffic

Tad: A large-scale benchmark for traffic accidents detection from video surveillance

Y Xu, C Huang, Y Nan, S Lian - arXiv preprint arXiv:2209.12386, 2022 - arxiv.org
… help improve research on traffic accidents detection, accordingly this section will … traffic
events detection algorithms. There are three major algorithm frameworks of traffic events detection

Region and feature matching based vehicle tracking for accident detection

A Saini, S Suregaonkar, N Gupta… - 2017 Tenth …, 2017 - ieeexplore.ieee.org
… developed for traffic surveillance using point features, the problem of accident detection
has not been provided much emphasis. In this paper, a hybrid of feature detection and region …

Accident detection using time-distributed model in videos

G Gupta, R Singh, A Singh Patel, M Ojha - Proceedings of Fifth …, 2020 - Springer
detector, and traffic accident detector. However, the implementation of each of these applications
varies at vivid levels. Accident detection in … to detect accidents from CCTV surveillance

Computer vision based accident detection for autonomous vehicles

D Chand, S Gupta, I Kavati - 2020 IEEE 17th India Council …, 2020 - ieeexplore.ieee.org
traffic surveillance and vehicular accident detection. For instance, we can use accident detection
… an accident. Secondly, autonomous vehicles can report the local authorities when they …

Smart city transportation: Deep learning ensemble approach for traffic accident detection

VA Adewopo, N Elsayed - IEEE Access, 2024 - ieeexplore.ieee.org
… This research focuses on accidents recorded by traffic surveillance and dash cameras, with
a particular emphasis on incidents that involve collisions between different types of vehicles, …