ISSN: 1673-825X    Imprint: Chongqing University of Posts and Telecommunications Journal
Volume listings
  • Current volume
  •  
  • Search by keywords:
  • Search by 
  • Keywords
  • To
  • Journal archive
Related Links
基于Mean-Shift和粒子滤波的两步多目标跟踪方法
A two-step multiple targets tracking algorithm based on Mean-Shift and particle filter
DOI:10.3979/j.issn.1673-825X.2010.01.025
Received:March 05, 2009  
中文关键词:Mean-Shift  粒子滤波  两步跟踪  目标跟踪
英文关键词:Mean-Shift (MS)  particle filter (PF)  two-step tracking  object tracking
基金项目:重庆市科技攻关项目(7818);重庆市自然科学基金(CSTC,2005BB2063);重庆市教委科学技术项目(050509,060504,060517)
Author NameAffiliation
LI Hong-bo, ZENG De-long, WU Yu Institute of Artificial Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China 
Hits: 5721
Download times: 4072
中文摘要:
      针对Mean-Shift跟踪算法容易跟踪丢失以及粒子滤波跟踪算法计算量大等问题,提出了一种两步多目标跟踪算法。利用Mean-Shift进行第一步跟踪得到候选目标,在跟踪不准的情况下再利用粒子滤波进行后续的跟踪结果修正。实验结果表明两步跟踪算法既能保持Mean-Shift跟踪的实时性,也能维持粒子滤波跟踪算法的鲁棒性,有很高的实用性。
英文摘要:
      Since Mean-Shift (MS) tracking algorithm always loses tracking objects and the particle filter tracking algorithm costs huge computation, a novel two-step multiple targets tracking algorithm was proposed. Firstly, a candidate object was gotten by Mean-Shift (MS) tracking algorithm. Then, the tracking result would be verified by particle filter technique when the object couldn't be traced exactly. Experimental results show that this approach can maintain the efficiency of MS algorithm and the powerful ability of particle filter technique, so it is of high practicability.
HTML    View PDF   View/Add Comment  Download reader