Abstract
Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Gait’s advantages are that it requires no contact, like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modelling and motion tracking. These lend support to the view that gait has clear potential as a biometric. Essentially, we use computer vision techniques to derive a gait signature from a sequence of images. The majority of current approaches analyse an image sequence to derive motion characteristics that are then used for recognition; only one approach is feature based. Early results by these studies confirm that there is a rich potential in gait for recognition. Only continued development will confirm whether its performance can equal that of other biometrics and whether its application advantages will indeed make it a pragmatist’s choice.
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Nixon, M.S., Carter, J.N., Cunado, D., Huang, P.S., Stevenage, S.V. (1996). Automatic Gait Recognition. In: Jain, A.K., Bolle, R., Pankanti, S. (eds) Biometrics. Springer, Boston, MA. https://doi.org/10.1007/0-306-47044-6_11
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DOI: https://doi.org/10.1007/0-306-47044-6_11
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