DocumentCode
457015
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.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
599
Lastpage
602
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.816
Filename
1698964
Link To Document