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Proceedings Paper

Shape-descriptor-based detection of concealed weapons in millimeter-wave data
Author(s): Mohamed-Adel Slamani; David D. Ferris
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Paper Abstract

Shape parameters based on circularity, Fourier descriptors, and invariant moments are studied for the automatic detection of weapons in millimeter-wave data. The data is collected by a 30-frames-per-second millimeter-wave (MMW) imager manufactured by Trex Enterprises for the detection of weapons concealed underneath a person's clothing. Results are illustrated through processing real MMW data.

Paper Details

Date Published: 20 March 2001
PDF: 10 pages
Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); doi: 10.1117/12.421137
Show Author Affiliations
Mohamed-Adel Slamani, ITT Industries (United States)
David D. Ferris, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4387:
Optical Pattern Recognition XII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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