Multi-object tracking (MOT) in cluttered and dynamic environments remains challenging, especially for maneuvering objects. While trajectory-based random finite set (RFS) filters provide principled ...

Multi-object tracking (MOT) is a highly challenging task in computer vision that aims to estimate the motion trajectories of objects in a video. Optimizing the performance of MOT algorithms can ...

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...