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