
Proceedings Paper
A multifaceted active swept millimetre-wave approach to the detection of concealed weaponsFormat | Member Price | Non-Member Price |
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Paper Abstract
The effective detection of concealed handguns and knives in open spaces is a major challenge for police and security
services round the world. Here an automated technique for the detection of concealed handguns that relies on active
swept illumination of the target to induce both scattered fields and aspect independent responses from the concealed
object is presented. The broad frequency sweep permits information about the object's size to be deduced from
transformations into the time/distance domain. In our experiments we collect multiple sweeps across the frequency range
at very high speed, which produces a time evolved response from the target, from both normal and cross polarized
detectors. From this we extract characteristic signatures from the responses that allow those from innocent objects (e.g.
mobile phones, keys etc) to be distinguished from handguns. Information about the optical depth separation of the
scattering corners and the degree and shape of cross polarization allows a neural network to successfully concealed
handguns. Finally this system utilizes a range of signal processing techniques ranging from correlation between cross
and normally polarized scattering through to a neural network classifier to deduce whether a concealed weapon is
present.
Paper Details
Date Published: 3 October 2008
PDF: 10 pages
Proc. SPIE 7117, Millimetre Wave and Terahertz Sensors and Technology, 711707 (3 October 2008); doi: 10.1117/12.800360
Published in SPIE Proceedings Vol. 7117:
Millimetre Wave and Terahertz Sensors and Technology
Keith A. Krapels; Neil A. Salmon, Editor(s)
PDF: 10 pages
Proc. SPIE 7117, Millimetre Wave and Terahertz Sensors and Technology, 711707 (3 October 2008); doi: 10.1117/12.800360
Show Author Affiliations
David A. Andrews, Manchester Metropolitan Univ. (United Kingdom)
Nicholas Bowring, Manchester Metropolitan Univ. (United Kingdom)
Nacer D. Rezgui, Manchester Metropolitan Univ. (United Kingdom)
Matthew Southgate, Manchester Metropolitan Univ. (United Kingdom)
Nicholas Bowring, Manchester Metropolitan Univ. (United Kingdom)
Nacer D. Rezgui, Manchester Metropolitan Univ. (United Kingdom)
Matthew Southgate, Manchester Metropolitan Univ. (United Kingdom)
Elizabeth Guest, Leeds Metropolitan University (United Kingdom)
Stuart Harmer, Manchester Metropolitan Univ. (United Kingdom)
Ali Atiah, Manchester Metropolitan Univ. (United Kingdom)
Stuart Harmer, Manchester Metropolitan Univ. (United Kingdom)
Ali Atiah, Manchester Metropolitan Univ. (United Kingdom)
Published in SPIE Proceedings Vol. 7117:
Millimetre Wave and Terahertz Sensors and Technology
Keith A. Krapels; Neil A. Salmon, Editor(s)
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