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Proceedings Paper

Spatially adaptive regularized pel-recursive motion estimation based on the EM algorithm
Author(s): Vania V. Estrela; Nikolas P. Galatsanos
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Paper 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.

Paper Details

Date Published: 19 April 2000
PDF: 12 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.382969
Show Author Affiliations
Vania V. Estrela, Illinois Institute of Technology (United States)
Nikolas P. Galatsanos, Illinois Institute of Technology (United States)


Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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