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Proceedings Paper

A Multiple-Frame Pel-Recursive Wiener-Based Displacement Estimation Algorithm
Author(s): Serafim N. Efstratiadis; Aggelos K. Katsaggelos
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Paper 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.

Paper Details

Date Published: 1 November 1989
PDF: 10 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970018
Show Author Affiliations
Serafim N. Efstratiadis, Northwestern University (United States)
Aggelos K. Katsaggelos, Northwestern University (United States)


Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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