Multiple Target Tracking Using Particle Filter Based Multi-scan Joint Probabilistic Data Association Filter

摘要：

In this paper,a particle lter based multi-scan JPDA lter is proposed to deal with the data association problem in multiple target tracking.In the proposed multi-scan JPDA algorithm,the distributions of interest are the marginal ltering distributions for each of the targets,and these distributions are approximated with particles.The multi-scan JPDA algorithm examines the joint association events in a multi-scan sliding window and calculates the marginal posterior probability based on the multi-scan joint association events.The proposed algorithm is illustrated via an example involving tracking of two slowly maneuvering targets based on resolved measurements.

作者: LIU Jing Chong zhao HU Yu

作者单位: School of Electronics and Information Engineering,Xi ’an JiaoTong University,Xi ’an 710049,P.R.China Schools of Aeronautics,Northwestern Polytechnical University,710072,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）