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Proceedings Paper

Mean field theory-based motion estimation in the Laguerre Gauss domain
Author(s): Marco Carli; Emanuele de Santis; Giovanni Iacovitti; Alessandro Neri
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Paper Abstract

In this paper the motion estimation between two consecutive color frames is analyzed by means of the Laguerre Gauss (LG) Wavelet Transform and the Mean Field theory. This contribution extends some previous work of the authors in this field. By decomposing the frames using the LG functions, a local image representation is obtained; using the self-steerability property of the LG it is possible to design a maximum likelihood estimation procedure to identify both the displacement and the rotation fields. To regularize the motion field taking in account the possible occlusions, the mean field theory has been used.

Paper Details

Date Published: 7 May 2003
PDF: 8 pages
Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); doi: 10.1117/12.476606
Show Author Affiliations
Marco Carli, Univ. degli Studi di Roma Tre (Italy)
Emanuele de Santis, Univ. degli Studi di Roma Tre (Italy)
Giovanni Iacovitti, Univ. degli Studi di Roma Tre (Italy)
Alessandro Neri, Univ. degli Studi di Roma Tre (Italy)

Published in SPIE Proceedings Vol. 5022:
Image and Video Communications and Processing 2003
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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