• DocumentCode
    1748610
  • Title

    Multiple motion scene reconstruction from uncalibrated views

  • Author

    Han, Mei ; Kanade, Takeo

  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    163
  • Abstract
    We describe a reconstruction method of multiple motion scenes, which are the scenes containing multiple moving objects, from uncalibrated views. Assuming that the objects are moving with constant velocities, the method recovers the scene structure, the trajectories of the moving objects, the camera motion and the camera intrinsic parameters (except skews) simultaneously. The number of the moving objects is automatically detected without prior motion segmentation. The method is based on a unified geometrical representation of the static scene and the moving objects. It first performs a projective reconstruction using a bilinear factorization algorithm, and then converts the projective solution to a Euclidean one by enforcing metric constraints. Experimental results on synthetic and real images are presented
  • Keywords
    image reconstruction; image sequences; motion estimation; bilinear factorization; camera motion; multiple motion scenes; projective reconstruction; reconstruction method; scene reconstruction; uncalibrated views; Cameras; Image reconstruction; Image sequences; Layout; Motion detection; Motion segmentation; Object detection; Reconstruction algorithms; Robot vision systems; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7695-1143-0
  • Type

    conf

  • DOI
    10.1109/ICCV.2001.937513
  • Filename
    937513