A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …

Anomalous events detection in real-world video scenes is a challenging problem due to the
complexity of" anomaly" as well as the cluttered backgrounds, objects and motions in the …

Vision-based detection of road accidents using traffic surveillance video is a highly desirable
but challenging task. In this paper, we propose a novel framework for automatic detection of …

Car accidents cause a large number of deaths and disabilities every day, a certain
proportion of which result from untimely treatment and secondary accidents. To some extent …

As a large proportion of road accidents occur at intersections, monitoring traffic safety of
intersections is important. Existing approaches are designed to investigate accidents in lane …

In this paper, a vision‐based crash detection framework was proposed to quickly detect
various crash types in mixed traffic flow environment, considering low‐visibility conditions …

In emergency situations, actions that save lives and limit the impact of hazards are crucial. In
order to act, situational awareness is needed to decide what to do. Geolocalized photos and …

Road accidents are increasing at a worrying rate and have raised one of the major concerns
in traffic road monitoring. Their detection is becoming a very important aspect for intelligent …

Roads are the vital mode of transportation for people and goods around the globe and its
use has grown dramatically over the years. There is one death every four minutes due to …