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Automatic Gait Recognition and its Potential Role in Counter-Terrorism

Condell, Joan, Chaurasia, Priyanka, Connolly, James, Yogarajah, Pratheepan, Prasad, Girijesh and Monaghan, Rachel (2016) Automatic Gait Recognition and its Potential Role in Counter-Terrorism. Studies in Conflict & Terrorism, 41 . [Journal article]

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DOI: 10.1080/1057610X.2016.1249777


Close circuit television (CCTV) footage can be used to assemble an often-complex picture of an incident and aid in the identification of suspects after a crime or terrorist attack has occurred. For example, such footage allowed the police to not only identify the 7/7 London bombers but also to piece together the details of the bombers’ movements prior to the attack. In the case of the London bombers little attempt was made to disguise their identities but where such identities are concealed it is possible to identify suspects based on other unique biometric characteristics such as the style of walk referred to as gait. Gait feature-based individual identification has received increased attention from biometrics researchers. In this paper, we propose a novel gait biometric methodology which could contribute to the counter-terrorism effort and the identification of individuals involved in crime.

Item Type:Journal article
Keywords:Counter-terrorism, bio-metrics, gait recognition
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Faculty of Social Sciences > School of Criminology, Politics and Social Policy
Faculty of Art, Design and the Built Environment
Faculty of Social Sciences
Faculty of Art, Design and the Built Environment > School of the Built Environment
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Institute for Research in Social Sciences > Social Work & Social Policy
Computer Science Research Institute
Institute for Research in Social Sciences
ID Code:36568
Deposited By: Dr Rachel Monaghan
Deposited On:05 Jan 2017 15:44
Last Modified:18 Apr 2018 22:23

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