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Proceedings Paper

Automation of the CCTV-mediated detection of individuals illegally carrying firearms: combining psychological and technological approaches
Author(s): Iain T. Darker; Paul Kuo; Ming Yuan Yang; Anastassia Blechko; Christos Grecos; Dimitrios Makris; Jean-Christophe Nebel; Alastair G. Gale
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Paper Abstract

Findings from the current UK national research programme, MEDUSA (Multi Environment Deployable Universal Software Application), are presented. MEDUSA brings together two approaches to facilitate the design of an automatic, CCTV-based firearm detection system: psychological-to elicit strategies used by CCTV operators; and machine vision-to identify key cues derived from camera imagery. Potentially effective human- and machine-based strategies have been identified; these will form elements of the final system. The efficacies of these algorithms have been tested on staged CCTV footage in discriminating between firearms and matched distractor objects. Early results indicate the potential for this combined approach.

Paper Details

Date Published: 27 April 2009
PDF: 9 pages
Proc. SPIE 7341, Visual Information Processing XVIII, 73410P (27 April 2009); doi: 10.1117/12.819998
Show Author Affiliations
Iain T. Darker, Loughborough Univ. (United Kingdom)
Paul Kuo, Kingston Univ. (United Kingdom)
Ming Yuan Yang, Univ. of Central Lancaster (United Kingdom)
Anastassia Blechko, Loughborough Univ. (United Kingdom)
Christos Grecos, Univ. of Central Lancashire (United Kingdom)
Dimitrios Makris, Kingston Univ. (United Kingdom)
Jean-Christophe Nebel, Kingston Univ. (United Kingdom)
Alastair G. Gale, Loughborough Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 7341:
Visual Information Processing XVIII
Zia-Ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)

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