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Human Identification Based on Gait

  • Mark S. Nixon
  • Tieniu Tan
  • Rama Chellappa

Part of the International Series on Biometrics book series (KISB, volume 4)

Table of contents

  1. Front Matter
    Pages i-x
  2. Mark S. Nixon, Tieniu Tan, Rama Chellappa
    Pages 1-4
  3. Mark S. Nixon, Tieniu Tan, Rama Chellappa
    Pages 5-15
  4. Mark S. Nixon, Tieniu Tan, Rama Chellappa
    Pages 17-34
  5. Mark S. Nixon, Tieniu Tan, Rama Chellappa
    Pages 35-43
  6. Mark S. Nixon, Tieniu Tan, Rama Chellappa
    Pages 45-105
  7. Mark S. Nixon, Tieniu Tan, Rama Chellappa
    Pages 107-133
  8. Mark S. Nixon, Tieniu Tan, Rama Chellappa
    Pages 135-149
  9. Mark S. Nixon, Tieniu Tan, Rama Chellappa
    Pages 151-170
  10. Back Matter
    Pages 171-187

About this book

Introduction

Biometrics now affect many people's lives, and is the focus of much academic research and commercial development.  Gait is one of the most recent biometrics, with its own unique advantages. Gait recognizes people by the way they walk and run, analyzes movement,which in turn implies analyzing sequences of images.

This professional book introduces developments from the laboratories of very distinguished researchers within this relatively new area of biometrics and clearly establishes human gait as a biometric. Human Identification Based on Gait provides a snapshot of all the biometric work in human identification by gait (all major centers for research are indicated in this book). To complete the picture, studies are included from medicine, psychology and other areas wherein we find not only justification for the use of gait as a biometric, but also pointers to techniques and to analysis.

Human Identification Based on Gait is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science.

 

 

Keywords

biometrics cognition computer science database performance

Authors and affiliations

  • Mark S. Nixon
    • 1
  • Tieniu Tan
    • 2
  • Rama Chellappa
    • 3
  1. 1.School of Electronics & Computer ScienceUniversity of SouthamptonUK
  2. 2.Institute of AutomationChinese Academy of SciencesBeijingP. R. China
  3. 3.Dept. of Electrical & Computer Engineering Center for Automation ResearchUniversity of MarylandUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-29488-9
  • Copyright Information Springer-Verlag US 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-24424-2
  • Online ISBN 978-0-387-29488-9
  • Buy this book on publisher's site