• DocumentCode
    2463517
  • Title

    Affine-invariant contour tracking with automatic control of spatiotemporal scale

  • Author

    Blake, Andrew ; Curwen, Rupert ; Zisserman, Andrew

  • Author_Institution
    Dept. of Eng. Sci., Oxford Univ., UK
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    66
  • Lastpage
    75
  • Abstract
    A framework for visual tracking of contours is presented, based on a synthesis of elastic models, stochastic filtering, and geometric invariance. Flexibly coupled curve templates implement soft prior assumptions about shape. Affine invariance, built into the flexible coupling, ensures that the affine deformations that arise naturally from image projection are favored. The stochastic basis of the framework is shown to result naturally in an automatic mechanism for the control of spatiotemporal scale
  • Keywords
    computer vision; image recognition; affine deformations; affine-invariant contour tracking; automatic control; curve templates; elastic models; geometric invariance; image projection; spatiotemporal scale; stochastic filtering; visual tracking of contours; Automatic control; Filtering; Hardware; Motion control; Shape; Solid modeling; Spatiotemporal phenomena; Stochastic processes; Tracking; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378234
  • Filename
    378234