Multi-Camera multi-target tracking is essential in the research field of urban intelligence
traffic. It shows that the task becomes extremely difficult due to the changes of illumination …

Past few years have witnessed the widespread adoption of unmanned aerial vehicles
(UAVs) in target tracking for regional monitor and strike. Most existing target tracking …

Multiple object tracking is a fundamental task in computer vision with significant implications
for various applications, including traffic monitoring, autonomous driving, and video …

In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-
resolution aerial imagery by intensive evaluation of a number of traditional and Deep …

Vehicle tracking across multiple cameras can be difficult for modern tracking systems. Given
unlikely candidates and faulty similarity estimation, data association struggles at city-scale …

Group regression is commonly used in 3D object detection to predict box parameters of
similar classes in a joint head, aiming to benefit from similarities while separating highly …

Nowadays, GPS and other global positioning systems have been widely developed,
enabling accurate and convenient outdoor location-based services for vehicles. However …

City-scale multi-camera vehicle tracking is an important task in the intelligent city and traffic
management. It is quite challenging with large scale variance, frequent occlusion and …

Object tracking is an essential task in visual traffic surveillance. Ideally, a tracker should be
able to accurately capture an object's natural motion such as translation, rotation, and …

Currently, intelligent security systems are widely deployed in indoor buildings to ensure the
safety of people in shopping malls, banks, train stations, and other indoor buildings. Multi …