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Proceedings Paper

Comparison of a wide variety of concealed weapon detectors
Author(s): Mohamed-Adel Slamani; Mark G. Alford; David D. Ferris Jr.; Vincent C. Vannicola
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Paper Abstract

This paper discusses some new enabling technologies for law enforcement and security. A wide variety of concealed weapon detection systems are being investigated to determine the potential payoffs of employing these sensors to detect weapons concealed under a person's clothing. The enabling sensing mechanisms being studied include infrared, millimeter wave, acoustic, and x-ray sensors. The primary emphasis of this paper is on infrared and millimeter wave. A new technique for processing sensor data by segmenting and partitioning non-homogeneous images into homogeneous regions for later detection and identification processing is described. The name of this method is automated statistical characterization and partitioning of environments (A'SCAPE). A'SCAPE enables image enhancement for reliable detection and identification of weapons concealed under varying layers of clothing through its mapping process. By employing a variety of sensors, another enabling technology for concealed weapon detection (CWD) is sensor fusion. Concepts for experiments and analysis are discussed to determine the feasibility of various sensor fusion approaches for CWD.

Paper Details

Date Published: 19 February 1997
PDF: 12 pages
Proc. SPIE 2942, Investigative Image Processing, (19 February 1997); doi: 10.1117/12.267168
Show Author Affiliations
Mohamed-Adel Slamani, Stiefvater Consultants (United States)
Mark G. Alford, Rome Lab. (United States)
David D. Ferris Jr., Rome Lab. (United States)
Vincent C. Vannicola, Rome Lab. (United States)

Published in SPIE Proceedings Vol. 2942:
Investigative Image Processing
Leonid I. Rudin; Simon K. Bramble, Editor(s)

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