… This section describes the process of accident detection when the vehicle overlapping criteria
(C1, discussed in Section III-B) has been met as shown in Figure 2. We will introduce three …

… accident detection. This paper presents a new efficient framework for accident detection at
intersections for traffic surveillance … efficient and accurate object detection based on the stateof…

… real-time traffic video files in … surveillance and accident detection system is compared with
the existing techniques. This section evaluates only the accident detection and dynamic traffic …

… , accident detection and related methods to solve these issues are explored. We propose our
”IoT based traffic monitoring and accident detection system… about the live traffic. The system …

… fake accident video frames from normal video traffic footage … road anomaly (accidents)
detection in surveillance videos, we … different possible types of accidents in the visible range that it …

… to effectively detect and localize traffic accident without vehicle … In addition, we develop a
criterion to detect traffic accidents … detection and localization of traffic accident in video streams. …

… such as congestion, traffic rule violation, … traffic surveillance systems. In particular, we are
concentrating on novel technique to detect and assess the situation of risk such as accidents in …

… programmed traffic observation framework to gauge significant traffic … A traffic control kit is
developed to detect over speeding cars on … call to 999 on detecting accidents. A GPS enabled …

… problem of automatic traffic accident detection from video surveillance. To this … surveillance
is firstly divided into blocks, which are associated with different weights, since traffic accidents …

… In this article, we propose an accident detection and analysis framework that can be … ,
our accident detection model is compared against the unsupervised traffic accident detection …