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Particle filter based on color feature with contour information adaptively integrated for object tracking

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

particle filter is a probabilistic multi-hypothesis algorithm under the Bayesian framework. In order to establish a robust observing model, in this paper, a novel method which uses a more effective color feature with contour information integrated adaptively is proposed. Experimental results verified that, our approach was efficient.

源语言英语
主期刊名Proceedings - 2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011
359-362
页数4
DOI
出版状态已出版 - 2011
活动2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011 - Hangzhou, 中国
期限: 28 10月 201130 10月 2011

出版系列

姓名Proceedings - 2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011
2

会议

会议2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011
国家/地区中国
Hangzhou
时期28/10/1130/10/11

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