• DocumentCode
    178239
  • Title

    Background Subtraction Algorithms with Post-processing: A Review

  • Author

    Setitra, I. ; Larabi, S.

  • Author_Institution
    Res. Center on Sci. & Tech. Inf. Cerist, Univ. of Sci. & Technol. USTHB, Algiers, Algeria
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    2436
  • Lastpage
    2441
  • Abstract
    Due to its several algorithms with their fast implementations, background subtraction becomes a very important step in many computer vision and video surveillance systems which assume static cameras. Literature counts a large number of robust background subtraction algorithms which try each to outperform the others in a quantitative and qualitative manner. This competition can sometimes confuse the user of this kind of process and make the choice of one of them difficult. To overcome this issue we review, in what follows, the background subtraction process by defining it and exploring most used algorithms of background subtraction. We then expose some post processing techniques used to remove superfluous content derived from background subtraction.
  • Keywords
    computer vision; video surveillance; background subtraction algorithms; computer vision; post-processing; qualitative manner; quantitative manner; static cameras; video surveillance systems; Computational modeling; Estimation; History; Image color analysis; Kernel; Lighting; Streaming media; background modeling; bakcground subtraction; post processing; state of the art; video analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.421
  • Filename
    6977134