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Chinese Conference on Biometric Recognition

CCBR 2011: Biometric Recognition pp 150–158Cite as

A Survey of Advances in Biometric Gait Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7098))

Abstract

Biometric gait analysis is to acquire biometric information such as identity, gender, ethnicity and age from people walking patterns. In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflects the individual’s unique movement pattern. Compared to other biometrics, gait can be obtained from distance and is difficult to hide and camouflage. During the past ten years, gait has been a hot topic in computer vision with great progress achieved. In this paper, we give a general review and a simple survey of recent gait progresses.

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Author information

Authors and Affiliations

  1. Laboratory of Intelligent Recognition and Image Processing, Beihang University, Beijing, China

    Zhaoxiang Zhang

  2. Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China

    Maodi Hu

  3. School of Computer Science and Engineering, Beihang University, Beijing, China

    Yunhong Wang

Authors
  1. Zhaoxiang Zhang
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  2. Maodi Hu
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  3. Yunhong Wang
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Center for Biometrics and Security Research, Chinese Academy of Sciences, Institute of Automation, P.O. Box 2728, 100190, Beijing, China

    Zhenan Sun  & Tieniu Tan  & 

  2. School of Information Science and Technolog, Sun Yat-Sen University, 510275, Guangzhou, China

    Jianhuang Lai

  3. Institute of Computing Technology, Chinese Academy of Sciences, 100190, Beijing, China

    Xilin Chen

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhang, Z., Hu, M., Wang, Y. (2011). A Survey of Advances in Biometric Gait Recognition. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds) Biometric Recognition. CCBR 2011. Lecture Notes in Computer Science, vol 7098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25449-9_19

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  • DOI: https://doi.org/10.1007/978-3-642-25449-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25448-2

  • Online ISBN: 978-3-642-25449-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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