DocumentCode :
2240673
Title :
Layered representation for motion analysis
Author :
Wang, John Y A ; Adelson, Edward H.
Author_Institution :
MIT Media Lab., Cambridge, MA, USA
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
361
Lastpage :
366
Abstract :
Standard approaches to motion analysis assume that the optic flow is smooth; such techniques have trouble dealing with occlusion boundaries. The image sequence can be decomposed into a set of overlapping layers, where each layer´s motion is described by a smooth flow field. The discontinuities in the description are then attributed to object opacities rather than to the flow itself, mirroring the structure of the scene. A set of techniques is devised for segmenting images into coherently moving regions using affine motion analysis and clustering techniques. It is possible to decompose an image into a set of layers along with information about occlusion and depth ordering. The techniques are applied to a flower garden sequence. The scene can be analyzed into four layers, and, the entire 30-frame sequence can be represented with a single image of each layer, along with associated motion parameters
Keywords :
image segmentation; motion estimation; 30-frame sequence; affine motion analysis; clustering techniques; coherently moving regions; depth ordering; discontinuities; flower garden sequence; image segmentation; image sequence decomposition; layered representation; motion analysis; motion parameters; object opacities; occlusion boundaries; overlapping layers; smooth flow field; smooth optic flow; Animation; Image analysis; Image motion analysis; Image segmentation; Image sequence analysis; Image sequences; Laboratories; Layout; Motion analysis; Optical sensors; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.341105
Filename :
341105
Link To Document :
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