Title :
Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence
Author :
Zhang, Jing ; Shi, Fanhuai ; Yuncai Liu
Author_Institution :
Sch. of Mater. Sci. & Eng., Shanghai Jiao Tong Univ.
Abstract :
We present a geometric approach to multibody motion segmentation from line correspondences. Given three perspective views containing multiple moving objects, we demonstrate that after applying a polynomial embedding to the line correspondences, they became related by the so-called multibody trilinear constrain and its associated multibody trifocal tensor. We show how to obtain the individual trifocal tensor from the second order derivatives of the multibody trilinear constraint. Given trifocal tensors, we obtain the clustering of the motions and correspondences. Experimental results on synthetic and real dynamic scenes are presented
Keywords :
geometry; image motion analysis; image segmentation; tensors; line correspondence; multibody motion segmentation; multibody trifocal tensor; multibody trilinear constraint; Cameras; Computer vision; Image processing; Layout; Materials science and technology; Motion estimation; Motion segmentation; Pattern recognition; Polynomials; Tensile stress;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.816