• DocumentCode
    310373
  • Title

    Robust estimation of multi-component motion in image sequences using the epipolar constraint

  • Author

    Steinbach, Eckehard ; Chaudhuri, Subhasis ; Girod, Bernd

  • Author_Institution
    Telecommun. Inst., Erlangen-Nurnberg Univ., Germany
  • Volume
    4
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    2689
  • Abstract
    Given two frames of a dynamic scene with several rigid body objects undergoing different motions in the three-dimensional space, we robustly estimate the motion and structure of each object. The least median of squares (LMedS) estimator is integrated into a robust 3D motion parameter estimation and scene structure recovery framework to deal with the multi-motion problem. Experimental results underline the capability of the approach to deal successfully with multi-component motion. We apply the approach presented in this paper to the problem of automatic insertion of artificial objects in real image sequences
  • Keywords
    constraint theory; image sequences; least mean squares methods; motion estimation; parameter estimation; 3D motion parameter estimation; LMedS estimator; artificial objects; automatic insertion; dynamic scene; epipolar constraint; image sequences; least median of squares estimator; multi-component motion estimation; multi-motion problem; real images; rigid body objects; robust estimation; scene structure recovery framework; three-dimensional space; Cameras; Computer vision; Image communication; Image sequences; Layout; Motion analysis; Motion estimation; Parameter estimation; Robustness; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.595343
  • Filename
    595343