• DocumentCode
    2164759
  • Title

    Occlusion detection in moving cameras

  • Author

    Aydin, Tarkan ; Erdem, Tanju

  • Author_Institution
    Mat. Bilgisayar Bolumu, Bahcesehir Univ., Istanbul, Turkey
  • fYear
    2012
  • fDate
    18-20 April 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this work, we propose a novel method for detection of moving or static objects which are not part of the background in an image sequence captured by a moving camera. The method is composed of two stages, namely, construction of a background model and detection of occluding objects. The constructed background model makes it possible to detect both static and moving occluding objects. Experiments on the real scenes show that the proposed method works effectively and produces visually correct results.
  • Keywords
    cameras; image sequences; object detection; background model; cameras; image sequence; occlusion detection; static object detection; Adaptation models; Cameras; Computational modeling; Computer vision; Conferences; Pattern recognition; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2012 20th
  • Conference_Location
    Mugla
  • Print_ISBN
    978-1-4673-0055-1
  • Electronic_ISBN
    978-1-4673-0054-4
  • Type

    conf

  • DOI
    10.1109/SIU.2012.6204840
  • Filename
    6204840