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Fusing Color and Texture Features for Background Model

  • Hongxun zhang
  • De xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)

Abstract

Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel approach that uses fuzzy integral to fuse the texture and color features for background subtraction. The method could handle various small motions of background objects such as swaying tree branches and bushes. Our method requires less computational cost. The model adapts quickly to changes in the scene that enables very sensitive detection of moving targets. The results show that the proposed method is effective and efficient in real-time and accurate background maintenance in complex environment.

Keywords

Background Subtraction Local Binary Pattern Background Model Color Feature Fuzzy Measure 
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 2006

Authors and Affiliations

  • Hongxun zhang
    • 1
  • De xu
    • 1
  1. 1.School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijingChina

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