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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3290

Title: Light, camera, action and arrest
Authors: Darker, Iain T.
Gale, Alastair G.
Ward, Leila
Blechko, Anastassia
Purdy, Kevin
Issue Date: 2007
Publisher: © Taylor & Francis
Citation: DARKER, I.T. ... et al, 2007. Light, camera, action and arrest. IN: Contemporary Ergonomics 2007 : Proceedings of the International Conference on Contemporary Ergonomics (CE2007), 17-19 April 2007, Nottingham, UK, pp. 171-177
Abstract: Gun crime is a fast growing problem in the UK and it is important to detect a potential gun crime before an incident occurs. A possible technological and cost-effective approach is to utilise the widespread and endemic installation of CCTV cameras to automatically recognise individuals carrying concealed weapons and so prompt the CCTV operator. Current machine imaging software can identify a range of suspicious behaviours but with varying accuracy and associated false alarms. CCTV operators learn to identify certain cues associated with suspicious behaviour, again with varying accuracy. In a new EPSRC supported research project, MEDUSA sets out to identify both human and machine detected cues of individuals carrying concealed guns and merge these into new software for use by CCTV operators. This paper concentrates on the identification of cues associated with carrying concealed weapons and sets out the ergonomic challenges surrounding such an approach, together with the potential ways to overcome them.
Description: This definitive version of this conference paper is available from http://www.taylorandfrancis.co.uk/
URI: https://dspace.lboro.ac.uk/2134/3290
ISBN: 9780415436380
0415436389
Appears in Collections:Conference Papers (Computer Science)

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