Biometrics and counter-terrorism: the case of gait recognition

P. Chaurasia, P. Yogarajah, J. Condell, G. Prasad, David McIlhatton, R. Monaghan

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)


    The use of biometrics has become a popular method to counter the threat of terrorism. Biometric features can be used to confirm identity (biometric authentication) or to identify an individual (biometric identification). Such features include physical (e.g. fingerprints and DNA) and behavioural characteristics (e.g. handwriting and gait). This paper is concerned with one type of behavioural characteristics, namely gait. Gait refers to an individual's style or manner of walk and thus represents one of the body language information signifiers that can identify individuals distinctively in surveillance videos. Recently, gait recognition for individual identification has received increased attention from biometrics researchers as gait can be captured at a distance by using a low-resolution camera. Human gait properties can be affected by clothing and the carrying of objects both of which have been identified within the existing literature as causing difficulties in gait recognition. In this paper, we propose a novel method that generates dynamic and static feature templates of the sequences of silhouette images called Dynamic Static Silhouette Templates (DSSTs) to overcome these difficulties. Here, the DSST is calculated from Gait Energy Images. DSSTs capture the dynamic and the static characteristics of an individual's gait. The experimental results show that our method overcomes the issues arising from differing clothing and the carrying of objects.
    Original languageEnglish
    Pages (from-to)210-226
    Number of pages17
    JournalBehavioral Sciences of Terrorism and Political Aggression
    Issue number3
    Early online date22 Sept 2015
    Publication statusPublished - 2015


    • biometrics
    • counter-terrorism
    • gait recognition


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