• DocumentCode
    2343410
  • Title

    Robust Motion Detection with Color-texture Feature Fuzzy Approach

  • Author

    Ding, Ying ; Li, Wen-Hui ; Fan, Jing-Tao ; Yang, Hua-Min

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
  • fYear
    2009
  • fDate
    2-4 April 2009
  • Firstpage
    275
  • Lastpage
    278
  • Abstract
    Motion detection is a fundamental and important part of many visual tracking systems and of other computer vision applications. In this paper, we present a robust and effective motion detection method for detecting foreground moving objects even with quick lighting changes and shadows in scenes. The proposed approach integrates YCbCr color features with texture by a fuzzy method based on Choquet integral.Numerous experiments on complex video sequences show that the proposed approach, compared with GMM method, can achieve better performance.
  • Keywords
    computer vision; fuzzy set theory; image colour analysis; image motion analysis; image texture; video signal processing; Choquet integral; color texture feature fuzzy approach; computer vision; robust motion detection; video sequences; visual tracking systems; Computer science; Computer vision; Current measurement; Layout; Lighting; Motion detection; Object detection; Optical computing; Pixel; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Engineering and Information, 2009. ICC '09. International Conference on
  • Conference_Location
    Fullerton, CA
  • Print_ISBN
    978-0-7695-3538-8
  • Type

    conf

  • DOI
    10.1109/ICC.2009.21
  • Filename
    5328154