A Multiple-Frame Pel-Recursive Wiener-Based Displacement Estimation Algorithm

Serafim N. Efstratiadis; Aggelos K. Katsaggelos

doi:10.1117/12.970018

1 November 1989 A Multiple-Frame Pel-Recursive Wiener-Based Displacement Estimation Algorithm

Serafim N. Efstratiadis, Aggelos K. Katsaggelos

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970018
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

In this paper, a multiple frame formulation of the pel-recursive Wiener-based displacement estimation algorithm [1] is presented. The derivation of the algorithm is based on the assumption that both the so-called update of the initial estimate of the displacement vector and the linearization error are samples of stochastic processes. A linear least-squares estimate of the update of the initial estimate of the displacement vector from the previous frame to the current is provided, based on w observations in a causal window W of each of the v previous frames. The sensitivity of the pel-recursive algorithms in the areas where occlusion occurs is studied and their performance is improved with adaptive regularization of the inverse problem that is involved. Based on our experiments with typical video-conferencing scenes, we concluded that the multiple frame Wiener-based algorithm performs better than the two-frame Wiener-based pel-recursive algorithm with respect to robustness, stability, and smoothness of the velocity field.

Citation Download Citation

Serafim N. Efstratiadis and Aggelos K. Katsaggelos "A Multiple-Frame Pel-Recursive Wiener-Based Displacement Estimation Algorithm", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970018

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