• DocumentCode
    2833632
  • Title

    A snake algorithm for automatically tracking multiple objects

  • Author

    Fang, Hua ; Kim, Shin-Hyoung ; Jang, JongWhan

  • Author_Institution
    Dept. of Inf. & Commun. Eng., PaiChai Univ., Daejeon, South Korea
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    469
  • Lastpage
    472
  • Abstract
    Snake is an active contour for representing object contours. Traditional snake algorithms are often used to represent the contour of a single object. However, if there is more than one object in the image, the snake model must be adaptive to determine the corresponding contour of each object. Also, the previous initialized snake contours risk in getting wrong results when tracking multiple objects in successive frames due to the weak topology changes. To overcome this problem, in this paper, we present a new snake method for efficiently tracking contours of multiple objects. Our proposed algorithm can provide a straightforward approach for snake contour rapid splitting and connection, which usually cannot be gracefully handled by traditional snakes. Experimental results of various test sequence images with multiple objects show good performance which proves that the proposed method is both effective and accurate.
  • Keywords
    image sequences; object tracking; topology; image sequence; initialized snake contours risk; object contours; object tracking; snake algorithm; snake contour rapid splitting; weak topology; Active contours; Joining processes; Level set; Silicon; Topology; Tracking; Vectors; Snake; detection; multiple objects; topology changes; tracking;
  • 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.2011.6116553
  • Filename
    6116553