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Proceedings Paper

Online consistency checking for AM-FM target tracks
Author(s): Nick A. Mould; Chuong T. Nguyen; Colin M. Johnston; Joseph P. Havlicek
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Paper Abstract

We compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter backgrounds. We show that independent correlation based detection processes can be implemented in the pixel and modulation domains and used to construct useful online track consistency checks that indicate when the detection process has been degraded due to nonstationary evolution of the target signature. Throughout the paper, we use the well-known AMCOM closure sequences as exemplars.

Paper Details

Date Published: 26 February 2008
PDF: 12 pages
Proc. SPIE 6814, Computational Imaging VI, 681413 (26 February 2008); doi: 10.1117/12.777162
Show Author Affiliations
Nick A. Mould, Univ. of Oklahoma (United States)
Chuong T. Nguyen, Univ. of Oklahoma (United States)
Colin M. Johnston, Univ. of Oklahoma (United States)
Joseph P. Havlicek, Univ. of Oklahoma (United States)

Published in SPIE Proceedings Vol. 6814:
Computational Imaging VI
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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