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.
LanguageEnglish
Pages151-168
JournalStudies in Conflict & Terrorism
Volume41
Issue number2
Early online date18 Oct 2016
DOIs
Publication statusPublished - 2018

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Bombers
Terrorism
Biometrics
Crime
Law enforcement
Television
Networks (circuits)

Keywords

  • Counter-terrorism
  • bio-metrics
  • gait recognition

Cite this

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title = "Automatic Gait Recognition and its Potential Role in Counter-Terrorism",
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.",
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author = "Joan Condell and Priyanka Chaurasia and James Connolly and Pratheepan Yogarajah and Girijesh Prasad and Rachel Monaghan",
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AU - Prasad, Girijesh

AU - Monaghan, Rachel

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AB - 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.

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