As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …

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 …

Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …

Vehicle re-identification (Re-ID) has been attracting increasing interest in the field of
computer vision due to the growing utilization of surveillance cameras in public security …

Abstract The AI City Challenge has been created to accelerate intelligent video analysis that
helps make cities smarter and safer. With millions of traffic video cameras acting as sensors …

With the continuous improvement and optimization of security monitoring networks, vehicle
Re-Identification (Re-ID) becomes an emerging key technology in the development of …

Vehicle re-identification, multi-camera vehicle tracking, and anomaly detection are essential
for city-scale intelligent transportation systems. Both vehicle re-id and multi-camera tracking …

Anomaly detection on road traffic is a fundamental computer vision task and plays a critical
role in video structure analysis and urban traffic analysis. Although it has attracted intense …

It is essential to develop efficient methods to detect abnormal events, such as car-crashes or
stalled vehicles, from surveillance cameras to provide in-time help. This motivates us to …

A vital component of Intelligent Transportation Systems (ITS) is vehicle re-identification,
which allows vehicles to be identified across surveillance devices. Re-identification of …