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Biometrics pp 231–249Cite as

Automatic Gait Recognition

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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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Author information

Authors and Affiliations

  1. University of Southampton, Southampton, UK

    M. S. Nixon, J. N. Carter, D. Cunado, P. S. Huang & S. V. Stevenage

Authors
  1. M. S. Nixon
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  2. J. N. Carter
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  3. D. Cunado
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  4. P. S. Huang
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  5. S. V. Stevenage
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Editor information

Editors and Affiliations

  1. Michigan State University, E. Lansing, Michigan

    Anil K. Jain

  2. IBM, T.J. Watson Research Center, Yorktown Heights, New York

    Ruud Bolle  & Sharath Pankanti  & 

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© 1996 Springer Science+Business Media, Inc.

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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

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-28539-9

  • Online ISBN: 978-0-306-47044-8

  • eBook Packages: Springer Book Archive

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