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Gait Recognition, Model-Based

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Encyclopedia of Biometrics

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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 model that 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

  2. School of Electronics and Computer Science, University of Southampton, Southampton, UK

    Mark Nixon

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

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

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

    Anil K. Jain

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© 2015 Springer Science+Business Media New York

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Yam, CY., Nixon, M. (2015). Gait Recognition, Model-Based. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_37

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