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Performing Content-Based Retrieval of Humans Using Gait Biometrics

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Semantic Multimedia (SAMT 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5392))

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Abstract

In order to analyse surveillance video, we need to efficiently explore large datasets containing videos of walking humans. At survei llance-image resolution, the human walk (their gait) can be determined automatically, and more readily than other features such as the face. Effective analysis of such data relies on retrieval of video data which has been enriched using semantic annotations. A manual annotation process is time-consuming and prone to error due to subject bias. We explore the content-based retrieval of videos containing walking subjects, using semantic queries. We evaluate current biometric research using gait, unique in its effectiveness at recognising people at a distance. We introduce a set of semantic traits discernible by humans at a distance, outlining their psychological validity. Working under the premise that similarity of the chosen gait signature implies similarity of certain semantic traits we perform a set of semantic retrieval experiments using popular latent semantic analysis techniques from the information retrieval community.

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Author information

Authors and Affiliations

  1. School of Electronics and Computer Science, Southampton University, Southampton, SO17 1BJ, United Kingdom

    Sina Samangooei & Mark S. Nixon

Authors
  1. Sina Samangooei
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  2. Mark S. Nixon
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Editor information

Editors and Affiliations

  1. School of Computing, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, United Kingdom

    David Duke

  2. CWI, Science Park Amsterdam, Kruislaan 413, NL-1098 SJ, Amsterdam, The Netherlands

    Lynda Hardman

  3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, PA 15213-3890, Pittsburgh, USA

    Alex Hauptmann

  4. Fachbereich Informatik, Universität Koblenz-Landau, Universitätsstraße 1, 56070, Koblenz, Germany

    Dietrich Paulus  & Steffen Staab  & 

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Samangooei, S., Nixon, M.S. (2008). Performing Content-Based Retrieval of Humans Using Gait Biometrics. In: Duke, D., Hardman, L., Hauptmann, A., Paulus, D., Staab, S. (eds) Semantic Multimedia. SAMT 2008. Lecture Notes in Computer Science, vol 5392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92235-3_10

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  • DOI: https://doi.org/10.1007/978-3-540-92235-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92234-6

  • Online ISBN: 978-3-540-92235-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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