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.
CITATION STYLE
Estrela, V., Estrela, V. V., Estrela, V. V., Rivera, L. A., Escriba, L. A. R., Rivera, L. A., … Bassani, M. H. S. (2004). Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation (pp. 47–54). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.801
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