DocumentCode :
2462555
Title :
Motion segmentation and local structure
Author :
Sinclair, D.
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
fYear :
1993
fDate :
11-14 May 1993
Firstpage :
366
Lastpage :
373
Abstract :
The author presents a means of segmenting independently moving objects from rigid backgrounds and recovering the orientations of the normals of local planar surface patches. The camera motion can be arbitrary with the proviso that the independent image motion violates the epipolar constraint. The method relies on describing the motion of points in the world in terms of their angular velocity relative to the camera. The method is crucially dependent on estimating camera rotation around image directions. An assumption about the likely motion of automatic guided vehicles is used to resolve the two-fold ambiguity in the estimate of the normal of a local planar patch. This allows local scene structure and camera rotation to be estimated. Motion segmentation is demonstrated on a real image sequence
Keywords :
image segmentation; motion estimation; automatic guided vehicles; camera motion; camera rotation; epipolar constraint; image directions; independent image motion; local planar surface patches; local structure; motion segmentation; moving objects segmentation; real image sequence; rigid backgrounds; Angular velocity; Animal structures; Cameras; Computer vision; Image segmentation; Layout; Motion analysis; Motion detection; Motion segmentation; Object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
Type :
conf
DOI :
10.1109/ICCV.1993.378191
Filename :
378191
Link To Document :
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