Title: | Pel-recursive motion estimation using the expectation-maximization technique und spatial adaption |
Authors: | Estrela, Vania Rivera, Luis A. Bassani, Marcos H. S. |
Citation: | WSCG '2004: Short Communications: the 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2004, 2.-6. February 2004 Plzeň, p. 47-54. |
Issue Date: | 2004 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/wscg2004/Papers_2004_Short/L05.pdf http://hdl.handle.net/11025/6184 |
ISBN: | 80-903100-5-2 |
Keywords: | odhad pohybu;EM algoritmus;pel-rekurzivní pohyb |
Keywords in different language: | motion estimation;EM algorithm;pel-recursive motion |
Abstract: | 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. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2004: Short Communications |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/6184
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