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An improved probabilistic data association method for multi-target tracking in clutter

  • Yazhao Wang*
  • , Yingmin Jia
  • , Junping Du
  • , Fashan Yu
  • *此作品的通讯作者
  • Beihang University
  • Beijing University of Posts and Telecommunications
  • Henan Polytechnic University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Improved data association methods for multi-target tracking are discussed in this paper. We introduce an exquisite gating technique based on the well-known probabilistic data association (PDA) filter, which calculates the association probabilities to the targets being tracked for each validated measurement. An important feature of the new algorithm is that it can divide the joint validation region into several parts in which the association probabilities can be calculated with more accuracy. The algorithm is tested and compared with both the generic PDA and joint probabilistic data association (JPDA) filter. Simulations are also presented to illustrate the effectiveness of the algorithm.

源语言英语
主期刊名Electrical, Information Engineering and Mechatronics 2011 - Proceedings of the 2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011
1375-1382
页数8
DOI
出版状态已出版 - 2012
活动2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011 - Jiaozuo, Henan, 中国
期限: 23 12月 201125 12月 2011

出版系列

姓名Lecture Notes in Electrical Engineering
138 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011
国家/地区中国
Jiaozuo, Henan
时期23/12/1125/12/11

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