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Proceedings Paper

Motion estimation using segmentation and consistency constraint
Author(s): Demin Wang; Peter Haighton; Limin Wang; Andre Vincent
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Paper Abstract

This paper presents an approach to realistic motion field estimation. In this approach, an image is first segmented into homogeneous regions using a new multiscale gradient algorithm followed by watershed transformation. The multiscale gradient algorithm efficiently solves the over- segmentation problem of watershed transformation, increases segmentation accuracy and reduces the computational cost. The motion field is then estimated using block-matching with a consistency constraint. The consistency constraint function is defined by the neighboring motion vectors and the segmentation map. Simulation results show that the motion fields generated by the block-matching with consistency constraint are very smooth within each object, approaching realistic motion fields, even when a small block size is used.

Paper Details

Date Published: 10 January 1997
PDF: 10 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263268
Show Author Affiliations
Demin Wang, Communications Research Ctr. (Canada)
Peter Haighton, Communications Research Ctr. (Canada)
Limin Wang, Communications Research Ctr. (Canada)
Andre Vincent, Communications Research Ctr. (Canada)


Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp, Editor(s)

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