DocumentCode
344022
Title
Motion based decompositing of video
Author
Brostow, Gabriel J. ; Essa, Irfan A.
Author_Institution
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
1
fYear
1999
fDate
1999
Firstpage
8
Abstract
We present a method to decompose video sequences into layers that represent the relative depths of complex scenes. Our method combines spatial information with temporal occlusions to determine relative depths of these layers. Spatial information is obtained through edge detection and a customized contour completion algorithm. Activity in a scene is used to extract temporal occlusion events, which are in turn, used to classify objects as occluders or occludes. The path traversed by the moving objects determines the segmentation of the scene. Several examples of decompositing and compositing of video are shown. This approach can be applied in the pre-processing of sequences for compositing or tracking purposes and to determine the approximate 3D structure of a scene
Keywords
edge detection; image segmentation; image sequences; motion estimation; video signal processing; approximate 3D structure; complex scenes; customized contour completion algorithm; edge detection; motion based video decomposition; moving objects; path traversal; relative depths; scene segmentation; sequence pre-processing; spatial information; temporal occlusion events; temporal occlusions; video sequences; Data mining; Educational institutions; Electrical capacitance tomography; Graphics; Humans; Image motion analysis; Layout; Legged locomotion; Psychology; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location
Kerkyra
Print_ISBN
0-7695-0164-8
Type
conf
DOI
10.1109/ICCV.1999.791190
Filename
791190
Link To Document