• DocumentCode
    2444479
  • Title

    A hybrid codebook background model for background subtraction

  • Author

    Sun, I-Ting ; Hsu, Shih-Chung ; Huang, Chung-Lin

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan
  • fYear
    2011
  • fDate
    4-7 Oct. 2011
  • Firstpage
    96
  • Lastpage
    101
  • Abstract
    Real-time segmentation of scene into foreground and background is an important issue for many applications. Different from previous codebook (CB) methods, this paper introduces a hybrid CB model by combining the mixture of Gaussian (MOG) method and the CB method. It can be used to solve the problems of moving background and shadow/highlight on the background and background. Our method avoids extracting false foreground pixels or missing real foreground pixels. The experimental results illustrate the advantages of our method over the other methods.
  • Keywords
    Gaussian processes; image segmentation; MOG method; background subtraction; hybrid CB model; hybrid codebook background model; mixture-of-Gaussian method; real-time segmentation; Brightness; Color; Lighting; Power harmonic filters; Shape; Training; Vectors; Background Subtraction; Codebook (CB) model; Mixture of Gaussian (MOG); Shadow removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SiPS), 2011 IEEE Workshop on
  • Conference_Location
    Beirut
  • ISSN
    2162-3562
  • Print_ISBN
    978-1-4577-1920-2
  • Type

    conf

  • DOI
    10.1109/SiPS.2011.6088956
  • Filename
    6088956