• DocumentCode
    2824944
  • Title

    Video motion detection algorithm using probabilistic time integrated RANSAC

  • Author

    Nir, Tal ; Eden, Orit

  • Author_Institution
    Rafael Adv. Defense Syst. Ltd., Haifa, Israel
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    2349
  • Lastpage
    2352
  • Abstract
    Video motion detection (VMD) is a critical task demanded for surveillance and monitoring applications for both static and moving camera setup. A new VMD algorithm is proposed: the probabilistic time integrated RANSAC (PTIR) which robustly detects and tracks objects in the difficult long range scenario. The problem of detecting long range moving objects in a wide field of view from a moving camera is difficult especially in poor visibility, cluttered and noisy environments. The suggested method also copes with cases where no time correspondence information is available. The experimental results demonstrate the performance and robustness of the proposed method.
  • Keywords
    cameras; motion estimation; video surveillance; long range moving objects; probabilistic time integrated RANSAC; video motion detection algorithm; Cameras; Data models; Monte Carlo methods; Noise; Probabilistic logic; Robustness; Trajectory; Motion detection; RANSAC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116112
  • Filename
    6116112