Spatially adaptive regularized pel-recursive motion estimation based on the EM algorithm

Vania V. Estrela; Nikolas P. Galatsanos

doi:10.1117/12.382969

19 April 2000 Spatially adaptive regularized pel-recursive motion estimation based on the EM algorithm

Vania V. Estrela, Nikolas P. Galatsanos

Proceedings Volume 3974, Image and Video Communications and Processing 2000; (2000) https://doi.org/10.1117/12.382969
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

Pel-recursive motion estimation is a well-established approach for motion estimation. However, in the presence of noise, it becomes an il-posed problem that requires regulation. In the past, regularization for pel-recursive estimations was addressed in an ad-hoc manner. In this paper, a Bayesian estimation framework is used to deal with this issue. More specifically, motion vectors and regularization parameters are estimated in an iterative fashion by means of the Expectation- Maximization (EM) algorithm and a Gaussian data model. The proposed algorithm utilizes the local image properties to regularize the motion vector estimates following a spatially adaptive approach. Numerical experiments are presented that demonstrate the merits of the proposed algorithm.

Citation Download Citation

Vania V. Estrela and Nikolas P. Galatsanos "Spatially adaptive regularized pel-recursive motion estimation based on the EM algorithm", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.382969

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