• DocumentCode
    1857898
  • Title

    Background Subtraction in Mobile Cameras by MRF-MAP Based Optical Flows

  • Author

    Limin Zhu ; Yue Zhou

  • Author_Institution
    Inst. of Image Process. & Patter Recognition, Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2013
  • fDate
    26-28 July 2013
  • Firstpage
    170
  • Lastpage
    174
  • Abstract
    Background subtraction has always been an important field in computer vision since it is generally the first step in video or image processing. It is an even more challenging job when sequences are taken by moving cameras. Unlike static surveillance cameras, the background varies a lot in every frame taken from mobile cameras. In this sense an optical flow based clustering method is proposed. The unique optical flow representing foreground movement is detected. The final output is given after a region growth in a MRF-MAP approach. Our method is evaluated on different datasets to show its effectiveness.
  • Keywords
    cameras; computer vision; image sequences; MRF MAP based optical flows; background subtraction; computer vision; foreground movement; image processing; mobile cameras; moving cameras; optical flow based clustering method; static surveillance cameras; Cameras; Computer vision; Image motion analysis; Integrated optics; Mobile communication; Optical imaging; Optical sensors; Background subtraction; MRF-MAP; optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Graphics (ICIG), 2013 Seventh International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ICIG.2013.40
  • Filename
    6643659
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1857898