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2006
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A Minimum-Entropy Procedure for Robust Motion Estimation

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A Minimum-Entropy Procedure for Robust Motion Estimation
We focus on motion estimation using a block matching approach and suggest using a minimum-entropy criterion. Many entropy-based estimation procedures exist, such as plug-in estimators based on Parzen windowing. We consider here an alternative that is applicable to data of any dimension and that circumvents the critical issues raised by kernel-based methods. To the best of our knowledge, this criterion has not yet been considered for image processing problems. The inherent robustness property of entropy is expected to provide a robust and efficient estimation of the motion vector of a block of a video sequence. In particular, the minimum-entropy estimator should be robust to occlusions and variations of luminance, for which standard approaches like SSD usually meet their limitations.
Sylvain Boltz, Eric Wolsztynski, Eric Debreuve, Er
Added 22 Oct 2009
Updated 28 Feb 2011
Type Conference
Year 2006
Where ICIP
Authors Sylvain Boltz, Eric Wolsztynski, Eric Debreuve, Eric Thierry, Michel Barlaud, Luc Pronzato
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