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  • 标题:Multi-cue Integration Object Tracking Based on Blocking
  • 本地全文:下载
  • 作者:Lichuan Gu ; Chengji Wang ; Jinqin zhong
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2014
  • 卷号:8
  • 期号:3
  • 页码:309-324
  • DOI:10.14257/ijsia.2014.8.3.32
  • 出版社:SERSC
  • 摘要:Aiming at object occlusions and appearance changes and other issues under complex environment, a new tracking method of multi-cue integration particle filter based on blocking is proposed. Based on fragment the method using color, texture and edge cues integration constructs particle weights updating scheme, and according to the probabilities of which varied information belongs to the object or to the background region, distinguishes appearance changes and occlusions, then the local template updating is applied and the stability of tracking is improved. In order to verify the performance and effectiveness of this method, the experiments use the indoor and outdoor test videos which contained the light changes, occlusions, and the appearance changes of objects. The experimental results showed that the method had strong robustness and high tracking accuracy.
  • 关键词:Object Tracking; Particle Filter; Multi-cue Integration; Blocking-based ; Tracking; Template Updating
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