Multiple Object Tracking

Multiple Object Tracking is an important problem in computer vision, aiming to automatically identify multiple objects in a video and represent them with high precision as a set of trajectories. This task is of significant application value in areas such as surveillance systems, autonomous driving, and sports analysis.