Large-Batch and Multi-Structure Group Targets Tracking Based on Serial GLMB
Zhi Qiang Zhao, Weifeng Liu, Sen Wang, Shibo Gao · 2021 International Conference on Control, Automation and Information Sciences (ICCAIS) · 2021
In recent years, with the improvement of sensor resolution, tracking a large number of group targets has become more and more popular. When tracking the group targets, the number of posterior components of the GLMB filter will increase exponentially, and the dependence exists between the group targets, which makes it more difficult to directly track them with GLMB algorithm. To solve this problem, a serial GLMB tracking algorithm is proposed in this paper, and the experimental simulation results show the effectiveness of our method. To evaluate the performance of the proposed tracker, wo also introduce a new method of applying the optimal subpattern assignment(OSPA) metric.