• DocumentCode
    2082725
  • Title

    Tracking With Sobolev Active Contours

  • Author

    Sundaramoorthi, Ganesh ; Jackson, Jeremy D. ; Yezzi, Anthony ; Mennucci, Andrea C.

  • Author_Institution
    Georgia Institute of Technology
  • Volume
    1
  • fYear
    2006
  • fDate
    17-22 June 2006
  • Firstpage
    674
  • Lastpage
    680
  • Abstract
    Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining their gradients. Sobolev active contours evolve more globally and are less attracted to certain intermediate local minima than traditional active contours. In this paper we analyze Sobolev active contours in the Fourier domain in order to understand their evolution across different scales. This analysis shows an important and useful behavior of Sobolev contours, namely, that they move successively from coarse to increasingly finer scale motions in a continuous manner. Along with other properties, the previous observation reveals that Sobolev active contours are ideally suited for tracking problems that use active contours. Our purpose in this work is to show how a variety of active contour based tracking methods can be significantly improved merely by evolving the active contours according to the Sobolev method.
  • Keywords
    Active contours; Costs; Deformable models; Image edge detection; Motion analysis; Robustness; Shape; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2597-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2006.314
  • Filename
    1640819