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
Link To Document