• DocumentCode
    2462555
  • Title

    Motion segmentation and local structure

  • Author

    Sinclair, D.

  • Author_Institution
    Dept. of Eng. Sci., Oxford Univ., UK
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    366
  • Lastpage
    373
  • Abstract
    The author presents a means of segmenting independently moving objects from rigid backgrounds and recovering the orientations of the normals of local planar surface patches. The camera motion can be arbitrary with the proviso that the independent image motion violates the epipolar constraint. The method relies on describing the motion of points in the world in terms of their angular velocity relative to the camera. The method is crucially dependent on estimating camera rotation around image directions. An assumption about the likely motion of automatic guided vehicles is used to resolve the two-fold ambiguity in the estimate of the normal of a local planar patch. This allows local scene structure and camera rotation to be estimated. Motion segmentation is demonstrated on a real image sequence
  • Keywords
    image segmentation; motion estimation; automatic guided vehicles; camera motion; camera rotation; epipolar constraint; image directions; independent image motion; local planar surface patches; local structure; motion segmentation; moving objects segmentation; real image sequence; rigid backgrounds; Angular velocity; Animal structures; Cameras; Computer vision; Image segmentation; Layout; Motion analysis; Motion detection; Motion segmentation; Object detection;
  • 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.1993.378191
  • Filename
    378191