Motion estimation through approximated densities
Ruiz, V. F. and Skodras, A. (1997) Motion estimation through approximated densities. In: Proceedings of 13th International Conference on Digital Signal Processing. IEEE, pp. 805-808. ISBN 0780341376
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To link to this article DOI: 10.1109/ICDSP.1997.628475
Many techniques are currently used for motion estimation. In the block-based approaches the most common procedure applied is the block-matching based on various algorithms. To refine the motion estimates resulting from the full search or any coarse search algorithm, one can find few applications of Kalman filtering, mainly in the intraframe scheme. The Kalman filtering technique applicability for block-based motion estimation is rather limited due to discontinuities in the dynamic behaviour of the motion vectors. Therefore, we propose an application of the concept of the filtering by approximated densities (FAD). The FAD, originally introduced to alleviate limitations due to conventional Kalman modelling, is applied to interframe block-motion estimation. This application uses a simple form of FAD involving statistical characteristics of multi-modal distributions up to second order.