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Abstract:Pel-recursive motion estimation isa 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 method.
* ISSN 12615810X, 2004 * 6 pages, pp. 204-209, Proceedings of the 8th World Multi-Conference
on Systemics, Cybernetics and Informatics, Volume XVI, Organized by the
International Institute of Informatics and Systemics, International
Federation of Systems Research: IFSR, Edited by Nagib Callaos, Maria Sanchez,
and Juan M. Pineda, TIB/UB Hannover, ISSN 12615810X, July 18-21, 2004,
Orlando, Florida, USA