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Proceedings Paper

Target classification via labeling of subtarget motion patterns
Author(s): Firooz A. Sadjadi
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Paper Abstract

Tracking ground moving targets in cluttered environment is a challenging problem in airborne surveillance. In this paper, we present a novel approach for classifying targets by exploiting the formation patterns of their subtarget motion estimates. The target's moving parts formation patterns are represented in terms of dynamic random graphs and the classification problem is reduced to that of graph identification. Target and subtarget motions are estimated by means of estimating their joint state vectors probability density functions that can be solved via a number of methods.

Paper Details

Date Published: 22 October 2001
PDF: 8 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445378
Show Author Affiliations
Firooz A. Sadjadi, Lockheed Martin Corp. (United States)

Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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