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The Fuzzy Parametrized Model for Classifying Blocks in the Non-binary Motion Mask

  • Dmitry A. Matsypaev
  • Andrey G. Bronevich
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)

Abstract

The motion detection in video is considered. We break non-binary motion mask on blocks and calculate a certain statistics for each block. Then we use prior information about statistics distribution to classify blocks on background and foreground. The estimation framework for classification confidence is presented.

Keywords

non-binary motion mask block representation fuzzy model imprecise probabilities 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Dmitry A. Matsypaev
    • 1
  • Andrey G. Bronevich
    • 2
  1. 1.Southern Federal University,Taganrog Institute of Technology, TaganrogRussia
  2. 2.National Research University ”Higher School of Economics”, MoscowRussia

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