Label-PHD Particle Filter for Multitarget Tracking

摘要：

In multiple targets tracking problem, Probability Hypothesis Density(PHD) particle filter can be used to estimate the multi-target state and the number at each time step, however, the tracks of multi-target can not be given at each time step. In this paper, label was assigned to the posterior intensity particles to get the identifier of a track, and to associate the estimate and the track. Simulations show that the Label-PHD program can associate estimate with track to construct the tracks of targets.

关键词： target tracking PHD filter particle filter track association

作者: Xiaoshu Sun Shurong Tian

作者单位: Depamnent of Science Research Naval aeronautical and astronautical university Yantai, China Institute of Systems Science and Mathematics Naval aeronautical and astronautical university Yantai,

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 206-208

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）