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Asian Conference on Computer Vision

ACCV 1998: Computer Vision — ACCV'98 pp 615–622Cite as

Object tracking using adaptive colour mixture models

  • Session F2A: Color Vision II
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1351))

Abstract

The use of adaptive Gaussian mixtures to model the colour distributions of objects is described. These models are used to perform robust, real-time tracking under varying illumination, viewing geometry and camera parameters. Observed log-likelihood measurements were used to perform selective adaptation.

Supported by an EPSRC/BBC CASE Studentship and EPSRC Grant GR/K44657.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Queen Mary and Westfield College, London

    Stephen J. McKenna, Yogesh Raja & Shaogang Gong

Authors
  1. Stephen J. McKenna
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  2. Yogesh Raja
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  3. Shaogang Gong
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Editor information

Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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McKenna, S.J., Raja, Y., Gong, S. (1997). Object tracking using adaptive colour mixture models. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_174

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  • DOI: https://doi.org/10.1007/3-540-63930-6_174

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63930-5

  • Online ISBN: 978-3-540-69669-8

  • eBook Packages: Springer Book Archive

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