Imaging sensor fusion for concealed weapon detection

Nicholas C. Currie; Fred J. Demma; David D. Ferris Jr.; Robert W. McMillan; Michael C. Wicks; Kathleen Zyga

doi:10.1117/12.267167

19 February 1997 Imaging sensor fusion for concealed weapon detection

Nicholas C. Currie, Fred J. Demma, David D. Ferris Jr., Robert W. McMillan, Michael C. Wicks, Kathleen Zyga

Proceedings Volume 2942, Investigative Image Processing; (1997) https://doi.org/10.1117/12.267167
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States

Abstract

Sensors are needed for concealed weapon detection which perform better with regard to weapon classification, identification, probability of detection and false alarm rate than the magnetic sensors commonly used in airports. We have concluded that no single sensor will meet the requirements for a reliable concealed weapon detector and thus that sensor fusion is required to optimize detection probability and false alarm rate by combining sensor outputs in a synergistic fashion. This paper describes microwave, millimeter wave, far infrared, infrared, x-ray, acoustic, and magnetic sensors which have some promise in the field of concealed weapon detection. The strengths and weaknesses of these devices are discussed, and examples of the outputs of most of them are given. Various approaches to fusion of these sensors are also described, from simple cuing of one sensor by another to improvement of image quality by using multiple systems. It is further concluded that none of the sensors described herein will ever replace entirely the airport metal detector, but that many of them meet needs imposed by applications requiring a higher detection probability and lower false alarm rate.

Citation Download Citation

Nicholas C. Currie, Fred J. Demma, David D. Ferris Jr., Robert W. McMillan, Michael C. Wicks, and Kathleen Zyga "Imaging sensor fusion for concealed weapon detection", Proc. SPIE 2942, Investigative Image Processing, (19 February 1997); https://doi.org/10.1117/12.267167

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