• DocumentCode
    2129756
  • Title

    Tracking a video object with the active contour (snake) predicted by the optical flow

  • Author

    Takaya, Kunio

  • Author_Institution
    Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK
  • fYear
    2008
  • fDate
    4-7 May 2008
  • Abstract
    This paper presents an application of the classical method of active contour (snakes) to the real time video environment, where tracking a video object is a primary task. The greedy method that minimizes the energy function to update the snake points, was combined with the optical flow method to cope with the situation that the object of interest moves too far beyond the reach of the edge sensor. The real time video processing platform has been developed to realize the deformable active contour by using VideoOCX of Visual Basic.
  • Keywords
    Visual BASIC; edge detection; greedy algorithms; image sequences; video signal processing; VideoOCX; Visual Basic; active contour; edge sensor; greedy method; optical flow; real time video environment; snake points; video object; Active contours; Application software; Greedy algorithms; Image motion analysis; Layout; Optical computing; Optical sensors; Power engineering and energy; Shape; Target tracking; Active contour; VideoOCX; dynamic; optical flow; programming; snakes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-1642-4
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2008.4564559
  • Filename
    4564559