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Gait Recognition, Model-Based

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Encyclopedia of Biometrics

Synonyms

Gait models for biometrics; Knowledge-based gait recognition

Definition

Model-based gait recognition relates to the identification using an underlying mathematical construct(s) representing the discriminatory gait characteristics (be they static or dynamic), with a set of parameters and a set of logical and quantitative relationships between them. These models are often simplified based on justifiable assumptions, e.g., a system may assume a pathologically normal gait. Such a system normally consists of gait capture, a model(s), a feature extraction scheme, a gait signature, and a classifier (Fig. 1). The model can be a 2- or 3-dimensional structural (or shape) model and/or motion modelthat lays the foundation for the extraction and tracking of a moving person. An alternative to a model-based approach is to analyze the motion of the human silhouette deriving recognition from the body’s shape and motion. A gait signature that is unique to each person in the database is then...

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References

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Author information

Authors and Affiliations

  1. University of Southampton, Southampton, UK

    Chew-Yean Yam & Mark S. Nixon

Authors
  1. Chew-Yean Yam
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  2. Mark S. Nixon
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li (Professor) (Professor)

  2. Departments of Computer Science & Engineering, Michigan State University, East Lansing, MI, USA

    Anil Jain (Professor) (Professor)

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© 2009 Springer Science+Business Media, LLC

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Yam, CY., Nixon, M.S. (2009). Gait Recognition, Model-Based. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_37

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