• DocumentCode
    698229
  • Title

    Occlusion-handling for improved particle filtering-based tracking

  • Author

    Canals, Raphael ; Ganoun, Ali ; Leconge, Remy

  • Author_Institution
    PRISME Inst., Univ. of Orleans, Orleans, France
  • fYear
    2009
  • fDate
    24-28 Aug. 2009
  • Firstpage
    1107
  • Lastpage
    1111
  • Abstract
    One of the particle filtering uses is object tracking since this technique permits to deal with uncertainty over time met in real time image sequences framework. This uncertainty is as much non-manageable that an object occlusion appears in images. In this paper, we propose an occlusion-handling scheme which significantly improves the tracking performance in presence of partial occlusion. The proposed technique is applied to track a single object in real greyscale image sequences. Results confirm tracking performance enhancement.
  • Keywords
    image filtering; image sequences; object tracking; particle filtering (numerical methods); tracking filters; greyscale image sequence; object occlusion-handling scheme; particle filtering-based object tracking; Abstracts; Conferences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2009 17th European
  • Conference_Location
    Glasgow
  • Print_ISBN
    978-161-7388-76-7
  • Type

    conf

  • Filename
    7077804