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Optical Engineering

Global registration and moving objects detection in noisy airborne image sequences
Author(s): Nader M. Namazi; William J. Scharpf; Jerome L. Obermark; James N. Caron
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Paper Abstract

This paper presents a method for registration of noisy airborne images for the purpose of the detection of moving objects. A new iterative algorithm is developed and presented for the correction of geometrical distortion caused by global motion in a scene. A binary hypotheses test is subsequently established using a likelihood ratio test (LRT) to classify the pixels in the corrected image as either locally moving (object motion) or not moving (stationary). The paper also incorporates the use of the Expectation-Maximization method for estimation of statistical image features needed by the LRT. We use and present experiments with real image sequences to validate the analytical developments.

Paper Details

PDF: 11 pages
Opt. Eng. 49(12) 127005 doi: 10.1117/1.3520057
Published in: Optical Engineering Volume 49, Issue 12, December 2010
Show Author Affiliations
Nader M. Namazi, The Catholic Univ. of America (United States)
William J. Scharpf, U.S. Naval Research Lab. (United States)
Jerome L. Obermark, DCS Corp. (United States)
James N. Caron, Research Support Instruments, Inc. (United States)


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