• DocumentCode
    438740
  • Title

    Motion segmentation of multiple translating objects using line correspondences

  • Author

    Shi, Fanhuai ; Wang, Jianhua ; Zhang, Jing ; Liu, Yuncai

  • Author_Institution
    Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., China
  • Volume
    1
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    315
  • Abstract
    We present an algebraic approach to multibody motion segmentation from line correspondences. Given three perspective views containing multiple linearly moving objects, we demonstrate that after applying a polynomial embedding to the line correspondences, they became related by the so-called multibody line constraint of translational motions. We show how to linearly estimate the multibody trifocal epipole from line-line-line correspondences. The individual trifocal epipoles are then obtained from the derivatives of the multibody line constraint (up to an unknown factor). Given normalized trifocal epipoles, we can use any special clustering technique to obtain the clustering of the motions and the correspondences. The limitations of the proposed algorithm are also discussed. Experimental results on synthetic and real dynamic scenes are presented.
  • Keywords
    image motion analysis; image segmentation; clustering technique; line correspondences; motion clustering; multibody line constraint; multibody motion segmentation; multibody trifocal epipole; multiple linearly moving objects; multiple translating objects; real dynamic scenes; synthetic dynamic scenes; translational motions; Cameras; Clustering algorithms; Computer vision; Image motion analysis; Layout; Motion analysis; Motion estimation; Motion segmentation; Pattern recognition; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.232
  • Filename
    1467284