Vision-based traffic accident detection is a significant task in traffic video surveillance. In this
paper, we propose a fast and effective approach to automatically detect traffic accident in a …

For the past few decades, automatic accident detection, especially using video analysis, has
become a very important subject. It is important not only for traffic management but also, for …

Recently, traffic accident detection is becoming one of the interesting fields due to its
tremendous application potential in Intelligent Transportation Systems. In this paper, we …

In this work, we aim to investigate the problem of detecting and analyzing traffic accidents
automatically and effectively through surveillance videos and implement the whole …

Vehicle occlusion in congested ground traffic situations causes performance degradation in
visual traffic surveillance systems. In this paper, we present a hidden Markov model (HMM) …

Traffic incident detection is one of the interesting fields of intelligent transportation system
(ITS) which recently rapidly increasing interest in their used. In this paper, we proposed an …

This study presents a video-based car detection and tracking algorithm for traffic analysis
system. By setting a detection window at the entry of a traffic lane, the algorithm applies a …

Video detection is one of the primary collection means of traffic states in Parallel traffic
Management Systems (PtMS). In order to accurately and automatically obtain road areas in …

Developing real-time traffic parameters surveillance systems based on video aiming to
extract reliable traffic state information has attracted a lot of attention during the past …

This paper presents a novel approach to describe traffic accident events at intersections in
human-understandable way using automated video processing techniques. The research …