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2004

Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation

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Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, motion vectors are estimated in an iterative fashion by means of the Expectation-Maximization (EM) algorithm and a Gaussian data model. Our proposed algorithm also utilizes the local image properties of the scene to improve the motion vector estimates following a spatially adaptive approach. Numerical experiments are presented that demonstrate the merits of our methods. Keywords Motion estimation, EM algorithm, pel-recursive, maximum likelihood.
Vania V. Estrela, Luís A. Rivera, Marcos H.
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where WSCG
Authors Vania V. Estrela, Luís A. Rivera, Marcos H. S. Bassani
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