Motion estimation using segmentation and consistency constraints

Demin Wang; Peter Haighton; Limin Wang; Andre Vincent

doi:10.1117/12.263268

10 January 1997 Motion estimation using segmentation and consistency constraint

Demin Wang, Peter Haighton, Limin Wang, Andre Vincent

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263268
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

Citation Download Citation

Demin Wang, Peter Haighton, Limin Wang, and Andre Vincent "Motion estimation using segmentation and consistency constraint", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263268

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