• DocumentCode
    1873828
  • Title

    The research of extracting moving target based on GrabCut

  • Author

    Xiaomeng Wang ; Shaobin Li

  • Author_Institution
    Department of Radio and Television Engineering, Communication University of China, Beijing100024, China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    2167
  • Lastpage
    2170
  • Abstract
    This study is designed to achieve a technology of extracting moving target within local windows based on GrabCut. After user cut out the moving target in the first frame, our system then covered a series of local windows over the contour of the target totally. Then our system used sparse optical flow algorithm and dense optical flow algorithm respectively to track the moving target and moved the local windows according the tracking result, which led to correct models and accurate extracting results. This study compared the affects to extracting results of tracking results between dense optical flow algorithm and sparse optical flow algorithm. Experimental results show that dense optical flow algorithm is better than the sparse optical flow algorithm and the former can ensure that the local windows cover the contour of target totally all along and lead to accurate extracting result of moving target.
  • Keywords
    GrabCut; The moving target; block matching; extracting; pyramid Lucas-Kanade optical flow;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1428
  • Filename
    6493035