Shape-descriptor-based detection of concealed weapons in millimeter-wave data

Mohamed-Adel Slamani; David D. Ferris Jr.

doi:10.1117/12.421137

20 March 2001 Shape-descriptor-based detection of concealed weapons in millimeter-wave data

Mohamed-Adel Slamani, David D. Ferris Jr.

Proceedings Volume 4387, Optical Pattern Recognition XII; (2001) https://doi.org/10.1117/12.421137
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Mohamed-Adel Slamani and David D. Ferris Jr. "Shape-descriptor-based detection of concealed weapons in millimeter-wave data", Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); https://doi.org/10.1117/12.421137

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