Online multi-target tracking using non-linear motion estimation

This paper deals with an online multi-target tracking method applicable to real world applications such as surveillance systems, traffic monitoring, and driving assistance systems. The proposed method consists of three stages, non-linear motion estimation in continuous time domain, hypothesis generation, data association. We tested the proposed method on publicly available video sequences and analyzed the results of the proposed method.