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Proceedings Paper

Estimation of multiple motions using block matching and Markov random fields
Author(s): Ingo Stuke; Til Aach; Erhardt Barth; Cicero Mota
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Paper Abstract

This paper deals with the problem of estimating multiple motions at points where these motions are overlaid. We present a new approach that is based on block-matching and can deal with both transparent motions and occlusions. We derive a block-matching constraint for an arbitrary number of moving layers. We use this constraint to design a hierarchical algorithm that can distinguish between the occurrence of single, transparent, and occluded motions and can thus select the appropriate local motion model. The algorithm adapts to the amount of noise in the image sequence by use of a statistical confidence test. The algorithm is further extended to deal with very noisy images by using a regularization based on Markov Random Fields. Performance is demonstrated on image sequences synthesized from natural textures with high levels of additive dynamic noise.

Paper Details

Date Published: 18 January 2004
PDF: 11 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.525378
Show Author Affiliations
Ingo Stuke, Univ. Lübeck (Germany)
Til Aach, Univ. Lübeck (Germany)
Erhardt Barth, Univ. Lübeck (Germany)
Cicero Mota, Univ. Lübeck (Germany)

Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

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