Layered Representation for Motion Analysis
John Y. A. Wang and Edward H. Adelson
Abstract
Standard approaches to motion analysis assume that the optic flow
is smooth; such techniques have trouble dealing with occlusion
boundaries. The most popular solution is to allow discontinuities in
the flow field, imposing the smoothness constraint in a piecewise
fashion. But there is a sense in which the discontinuities in flow
are artifactual, resulting from the attempt to capture the motion of
multiple overlapping objects in a single flow field. Instead we can
decompose the image sequence 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. We have devised a set of techniques for segmenting images
into coherently moving regions using affine motion analysis and
clustering techniques. We are able to decompose an image into a set
of layers along with information about occlusion and depth ordering.
We have applied the techniques to the ``flower garden'' sequence. We
can analyze the scene into four layers, and then represent the entire
30-frame sequence with a single image of each layer, along with
associated motion parameters.
J. Y. A. Wang and E. H. Adelson.
Layered Representation for Motion Analysis.
Proceedings of the IEEE Computer Society Conference on
Computer Vision and Pattern Recognition 1993,
pp. 361-366, New York, June 1993.
J. Y. A. Wang and E. H. Adelson.
Layered Representation for Image Sequence Coding.
Proceedings of the 1993 IEEE International Conference on
Acoustics, Speech, and Signal Processing,
Vol. 5, pp. 221-224, Minneapolis, April 1993.
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MIT BCS Perceptual Science Group.
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