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Proceedings Paper

Simultaneous moving and uncovered-background pixel detection and parameter estimation in video sequences
Author(s): Kristine E. Matthews; Nader M. Namazi
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Paper Abstract

Two essential aspects of uncovered-background prediction and motion compensation for image sequence coding are the segmentation of an image frame in a sequence of images into regions of uncovered- and covered-background, moving, and stationary pixels and the estimation of motion parameters. We have developed and investigated a method which simultaneously estimates motion and sequence parameters and provides image segmentation from noisy image sequences. The method segments an image frame in an image sequence into regions of moving, stationary, covered-background, and uncovered-background pixels relative to a reference frame. The basis of our method is the expectation-maximization algorithm for maximum-likelihood estimation. We previously presented our method under assumptions which imposed sever restrictions on the image composition and the object motion and did not consider covered-background pixels. These cases, though unrealistic, were illustrative of the mathematical formulation of our method. In this paper we remove the limiting restrictions on the image composition, and we introduce a region for covered-background pixels.

Paper Details

Date Published: 9 January 1998
PDF: 11 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298392
Show Author Affiliations
Kristine E. Matthews, Sharp Labs. of America, Inc. (United States)
Nader M. Namazi, The Catholic Univ. of America (United States)

Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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