Trajectory Long-tail Distribution for Muti-object Tracking

In the field of computer vision, Trajectory Long-tail Distribution for Multi-object Tracking refers to addressing the issue of extremely uneven target appearance frequencies in complex scenes through optimized algorithms. This technique aims to improve the detection and tracking accuracy of infrequent targets while maintaining stable tracking of frequent targets, thereby enhancing the overall robustness and accuracy of the system. Its application value lies in effectively handling the imbalance in target distribution in real-world environments, with wide applications in intelligent surveillance, autonomous driving, and crowd analysis scenarios.