Explanation

 MOT is widely used in autonomous vehicles, surveillance, sports analytics, and biological studies (e.g., tracking animal movement).

Key Aspects of MOT:

Detection – Identifying multiple objects in each frame.

Association – Matching detected objects across frames to maintain consistent tracking.

Prediction – Estimating object positions in future frames (e.g., using Kalman filters).

Data Fusion – Combining information from multiple sources (e.g., LiDAR, cameras) for more accurate tracking.