An efficient TO-MHT algorithm for multi-target tracking in cluttered environment
Shengsen Pan, Qinglong Bao, Zengping Chen · 2017
In radar system, data association and state estimation are two main principles for tracking multiple targets in cluttered environment. TO-MHT(Track-Oriented Multiple Hypothesis Tracking) is a well known tracking algorithm for its association performance. However, in TO-MHT hypotheses will explode in multi-target scenario as time going. In this paper, a practical implementation of TO-MHT algorithm is designed with four strategies to reduce the computational complexity. By means of simulations and real data validation, the algorithm shows better performance and is more efficient than conventional method.