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

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011
Pages359-362
Number of pages4
DOIs
StatePublished - 2011
Event2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011 - Hangzhou, China
Duration: 28 Oct 201130 Oct 2011

Publication series

NameProceedings - 2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011
Volume2

Conference

Conference2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011
Country/TerritoryChina
CityHangzhou
Period28/10/1130/10/11

Keywords

  • adaptive
  • color feature
  • contour information
  • particle filter

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