Estimation of multiple motions using block matching and Markov random fields

Ingo Stuke; Til Aach; Erhardt Barth; Cicero Mota

doi:10.1117/12.525378

18 January 2004 Estimation of multiple motions using block matching and Markov random fields

Ingo Stuke, Til Aach, Erhardt Barth, Cicero Mota

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.525378
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

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.

Citation Download Citation

Ingo Stuke, Til Aach, Erhardt Barth, and Cicero Mota "Estimation of multiple motions using block matching and Markov random fields", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.525378

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