Automatic Gait Recognition and its Potential Role in Counter-Terrorism

Joan Condell, Priyanka Chaurasia, James Connolly, Pratheepan Yogarajah, Girijesh Prasad, Rachel Monaghan

Research output: Contribution to journalArticle

2 Citations (Scopus)
4 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)151-168
Number of pages18
JournalStudies in Conflict and Terrorism
Volume41
Issue number2
Early online date17 Jan 2017
DOIs
Publication statusPublished - 2018
Externally publishedYes

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis in Studies in Conflict and Terrorism on 17/01/2017, available online: http://www.tandfonline.com/10.1080/1057610X.2016.1249777

Keywords

  • Counter-terrorism
  • bio-metrics
  • gait recognition

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