• DocumentCode
    2080505
  • Title

    Qualitative tracking of 3-D objects using active contour networks

  • Author

    Dickinson, Sven J. ; Jasiobedzki, Piotr ; Olofsson, Göran ; Christensen, Henrik I.

  • Author_Institution
    Dept. of Comput. Sci., Toronto Univ., Ont., Canada
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    812
  • Lastpage
    817
  • Abstract
    In this paper, we track changes in the appearance of the object as it moves from one frame to the next. At a symbolic level, an aspect graph clusters all the views of an object into a set of topologically distinct classes in terms of which surfaces of an object are visible from a given viewpoint (Koenderink and van Doom (1979). Two nodes (or aspects) in the aspect graph are connected by an arc if it is possible to directly move from a viewpoint in which the first aspect is visible to a viewpoint in which the second aspect is visible. Qualitatively, we can envision a tracking strategy which simply tracks an object as it moves from one node to another in the object´s aspect graph. Although it does not provide us with accurate pose of the object, it does qualitatively describe the motion of the object without the need for a CAD representation of the object
  • Keywords
    computer vision; graph theory; tracking; 3-D objects; active contour networks; aspect graph; topologically distinct classes; tracking strategy; Graph theory; Machine vision; Object recognition; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323904
  • Filename
    323904