• DocumentCode
    2859300
  • Title

    Active contours for visual tracking: a geometric gradient based approach

  • Author

    Kumar, A. ; Yezzi, A. ; Kichenassamy, S. ; Olver, P. ; Tannenbaum, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    4041
  • Abstract
    In this note, we analyze geometric active contour models from a curve evolution point of view and propose some modifications based on gradient flows relative to certain new metrics. This leads to a novel snake paradigm in which the feature of interest may be considered to lie at the bottom of a potential well. Thus the snake is attracted very naturally and efficiently to the desired feature. Moreover, we consider some 3-D active surface models based on these ideas
  • Keywords
    edge detection; feature extraction; optical tracking; 3D active surface models; curve evolution; geometric active contour models; geometric gradient-based approach; gradient flows; snake paradigm; visual tracking; Active contours; Books; Equations; Image edge detection; Image processing; Level set; Potential well; Shape; Solid modeling; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.479238
  • Filename
    479238