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Proceedings Paper

Privacy algorithm for airport passenger screening portal
Author(s): Paul E. Keller; Douglas L. McMakin; David M. Sheen; A. David McKinnon; Jay W. Summet
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Paper Abstract

A novel personnel surveillance system has been developed for airport security to detect and identify threatening objects, which are concealed ont he human body. The main advantage of this system over conventional metal detectors is that non- metallic objects such as plastic explosives and plastic guns are detectable. This system is based on millimeter-wave array technology and a holographic imaging algorithm to provide surveillance images of objects hidden beneath clothing in near real-time. The privacy algorithm is based on image processing filters and artificial neural networks. The algorithm examines the millimeter-wave surveillance images to locate and segment the threats and place them on either a silhouette of the person or a wire-frame humanoid representation. In this way, all human features are removed from the final image and personal privacy is maintained. This system is ideally suited for mass transportation centers such as airport checkpoints that require high throughput rates. The system is currently under going evaluation. This paper reports on results from an earlier initial test of portions of the privacy algorithm that detect hidden plastic objects.

Paper Details

Date Published: 30 March 2000
PDF: 8 pages
Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); doi: 10.1117/12.380602
Show Author Affiliations
Paul E. Keller, Pacific Northwest National Lab. (United States)
Douglas L. McMakin, Pacific Northwest National Lab. (United States)
David M. Sheen, Pacific Northwest National Lab. (United States)
A. David McKinnon, Pacific Northwest National Lab. (United States)
Jay W. Summet, Oregon State Univ. (United States)

Published in SPIE Proceedings Vol. 4055:
Applications and Science of Computational Intelligence III
Kevin L. Priddy; Paul E. Keller; David B. Fogel, Editor(s)

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