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Automation of the CCTV-mediated detection of individuals illegally carrying firearms: combining psychological and technological approaches

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conference contribution
posted on 03.06.2010, 08:03 by Iain T. Darker, Paul Kuo, Mingyuan Yang, Anastassia Blechko, Christos Grecos, Dimitrios Makris, Jean-Christophe Nebel, Alastair Gale
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.

History

School

  • Science

Department

  • Computer Science

Citation

DARKER, I.T. ... et al., 2009. Automation of the CCTV-mediated detection of individuals illegally carrying firearms: combining psychological and technological approaches. IN: Rahman, Z.U., Reichenbach, S.E. and Neifeld, M.A. (eds.). Visual Information Processing XVIII. Proceedings of SPIE 7341, 73410P, 9 pp.

Publisher

© 2009 Society of Photo-Optical Instrumentation Engineers

Version

VoR (Version of Record)

Publication date

2009

Notes

Copyright 2009 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This paper can also be found at: http://dx.doi.org/10.1117/12.819998

Language

en