• DocumentCode
    2916272
  • Title

    Tracking multiple objects using moving snakes

  • Author

    De Vylder, Jonas ; Ochoa, Daniel ; Philips, Wilfried ; Chaerle, Laury ; Van Der Straeten, Dominique

  • Author_Institution
    Dept. of Telecommun. & Inf. Process., Ghent Univ., Ghent, Belgium
  • fYear
    2009
  • fDate
    5-7 July 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Active contours or snakes are widely used for segmentation and tracking. The ability of a snake to track an object depends on the movement of the object. If the object moves too far from one frame to another, the snake risks losing the true contour location. The subsequent evolution steps are negatively affected, reporting a false contour that can propagate to other frames. To overcome this problem a new snake algorithm has been developed. This new technique, moving snakes, works in two steps. During the first step, the snake is translated as a rigid body towards the contour. This translation is calculated using the external force field of the image, therefore it does not require prior knowledge about the object movement. In the second step the actual shape evolution of the snake takes place.
  • Keywords
    image segmentation; tracking; active contour; external force; image segmentation; multiple object; subsequent evolution; Active contours; Biochemistry; Convergence; Image processing; Image segmentation; Information processing; Physiology; Shape; Telecommunication computing; Tracking; Active Contours; Multiple Objects; Rigid Body; Segmentation; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2009 16th International Conference on
  • Conference_Location
    Santorini-Hellas
  • Print_ISBN
    978-1-4244-3297-4
  • Electronic_ISBN
    978-1-4244-3298-1
  • Type

    conf

  • DOI
    10.1109/ICDSP.2009.5201067
  • Filename
    5201067