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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.232