A Displacement Uncertainty-Based Method for Multi-Object Tracking in Low-Frame-Rate Videos

Engineering, Electrical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
multi-object tracking   low-frame-rate videos   occlusion handling   uncertainty   optical flow   online tracking   Bayesian deep learning  

The Academic Report on Low-Frame-Rate Multi-Object Tracking Introduction and Research Background In recent years, multi-object tracking (MOT) has been widely applied in intelligent video surveillance, autonomous driving, and robotics vision. However, traditional MOT methods are predominantly designed for high-frame-rate videos and face significant ...