Tracking of objects in image sequences using multi-freeness Mean Shift algorithm

Jing Ping Jia, Yan Ning Zhang, Rong Chun Zhao, Ze Tao Jiang

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

5 Scopus citations

Abstract

Current Mean Shift tracking algorithm uses a single radius parameter to describe the scale of the target. Each target has the position and size freeness only. This is not suitable for complex movements of the objects. In this paper we provide a new algorithm in which a bandwidth matrix is employed to describe the objects with two directions determined independently. Target-angle is also introduced to accommodate the rotation of objects. Furthermore we bring forward an efficient search strategy to cope with a temporal occlusion of the objects. Experimental results show that the new algorithm is able to adapt to any kind of object's movements and therefore has better tracking precision.

Original languageEnglish
Title of host publication2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Pages5133-5138
Number of pages6
StatePublished - 2005
EventInternational Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
Duration: 18 Aug 200521 Aug 2005

Publication series

Name2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

ConferenceInternational Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/TerritoryChina
CityGuangzhou
Period18/08/0521/08/05

Keywords

  • Adaptability
  • Bandwidth Matrix
  • Mean Shift
  • Target- angle
  • Tracking of Objects in Image Sequences

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