Estimation of Multiple Motions by Block Matching Using Markov Random Fields

Ingo Stuke, Til Aach, Erhardt Barth, Cicero Mota


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.

Original languageEnglish
Title of host publicationVisual Communications and Image Processing 2004
Number of pages11
Publication date24.12.2004
ISBN (Print)9780819452115
Publication statusPublished - 24.12.2004
EventELECTRONIC IMAGING 2004 - San Jose, United States
Duration: 19.01.200420.01.2004
Conference number: 63928


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