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Gaussian-Based Codebook Model for Video Background Subtraction

  • Yongbin Li
  • Feng Chen
  • Wenli Xu
  • Youtian Du
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

As an effective method of background subtraction, codebook model suffers from unacceptable false negative detection rate in many situations due to its quantization criterion. In this paper, we propose an improved codebook model to solve this problem. Instead of using the original quantization criterion, we quantize the temporal series of the observations at a given pixel into codewords based on the Gaussian distribution assumption. We have performed this approach in our surveillance system for outdoor scenes and achieved excellent detection results.

Keywords

Gaussian Mixture Model Detection Result Foreground Object Outdoor Scene Shadow Detection 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yongbin Li
    • 1
  • Feng Chen
    • 1
  • Wenli Xu
    • 1
  • Youtian Du
    • 1
  1. 1.Department of AutomationTsinghua UniversityBeijingChina

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