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
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;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791190