Multi-Object Tracking

Multi-object tracking is a task in computer vision that involves detecting and tracking multiple targets in a video sequence. Its goal is to identify and locate the objects of interest in each frame and track their motion trajectories across frames through data association techniques. This task is challenging due to factors such as occlusion, motion blur, and changes in target appearance, and typically employs solutions that combine object detection with data association algorithms. It has significant application value.