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Colour model selection and adaptation in dynamic scenes

  • Yogesh Raja
  • Stephen J. McKenna
  • Shaogang Gong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1406)

Abstract

We use colour mixture models for real-time colour-based object localisation, tracking and segmentation in dynamic scenes. Within such a framework, we address the issues of model order selection, modelling scene background and model adaptation in time. Experimental results are given to demonstrate our approach in different scale and lighting conditions.

Keywords

Mixture Model Gaussian Mixture Model Colour Model Colour Constancy Constructive Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Yogesh Raja
    • 1
  • Stephen J. McKenna
    • 2
  • Shaogang Gong
    • 1
  1. 1.Department of Computer ScienceQueen Mary and Westfield CollegeEngland
  2. 2.Department of Applied ComputingUniversity of DundeeScotland

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