An Optimal and Statistically Robust Correlation Technique for Block Based Motion Estimation
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| Toronto, ON, Canada July 09-July 12 |
F. Essannouni, Laboratoire de Math?matiques Pures et Appliqu?ees, Universit? du Littoral-C?ote d'Opale, C.U. de la Mi-Voix, 50 rue F. Buisson, B.P. 699, 62228 Calais, Cedex, France; GSCM, UFR IT, Facult? d
R. Haj Thami, Laboratoire SI2M, Equipe WiM, ENSIAS, Universit? Mohamed V-Souissi, B.P. 713 Rabat, Maroc. oulad@ensias.ma
A. Salam, Laboratoire de Math?matiques Pures et Appliqu?ees, Universit? du Littoral-C?ote d'Opale, C.U. de la Mi-Voix, 50 rue F. Buisson, B.P. 699, 62228 Calais, Cedex, France. Ahmed.Salam@lmpa.univ-l
D. Aboutajdine, GSCM, UFR IT, Facult? des Sciences, Universit? e Mohamed V-Agdal, B.P. 1014 Rabat, Maroc. aboutaj@fsr.ac.ma
In this paper we propose an optimal and robust correlation technique for the local motion estimation purposes. It is based on the maximization of a statistical robust matching function, which is computed in the frequency domain and therefore can be implemented by fast transformation algorithms. We show that our method achieves a significant speed up and robustness over the full search block-matching algorithm. We also present a comparative performance analysis, which shows that the proposed method greatly outperforms the state-of-the-art in correlation motion estimation.
Citation:
F. Essannouni, R. Haj Thami, A. Salam, D. Aboutajdine, "An Optimal and Statistically Robust Correlation Technique for Block Based Motion Estimation," icme, pp.233-236, 2006 IEEE International Conference on Multimedia and Expo, 2006
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