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Gait Recognition by Multidimensional Representation for Accumulated Silhouette

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Book cover Grid and Distributed Computing (GDC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 261))

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Abstract

Gait is defined as a style of walking and the gait recognition is to recognize individual by using gait image sequence. Most studies about gait recognition use silhouettes which are extracted from gait image sequence because shape information included in the silhouette is more useful for recognition than others. In this paper, we propose gait recognition method using multidimensional representation for gait silhouettes. This paper focuses on the cyclic characteristics of gait. Thus we propose the method to form the accumulated silhouette regarding the cyclic characteristics and then describe those as multidimensional representation. In order to recognize individual using the multidimensional representation for the accumulated silhouette, we adopt tensor decomposition. We verify the superiority of the proposed approach via experiments with real gait sequences.

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References

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Author information

Authors and Affiliations

  1. Research Institute of Electrical and Computer Engineering, Hanyang University, 17 Haengdang-dong, Sungdong-gu, Seoul, 133-791, South Korea

    Seungdo Jeong

  2. Department of Computer Education, Jeju National University, 102 Jejudaehakno, Jeju-si, Jeju-do, 690-756, South Korea

    Jungwon Cho

Authors
  1. Seungdo Jeong
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  2. Jungwon Cho
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Chungwoon University, 350-701, Chungnam, Korea

    Hyun-seob Cho

  4. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  5. Department of Computer Science and Engineering, Arizona State University, 85281, Mesa, AZ, USA

    Stephen S. Yau

  6. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  7. Universidad Complutense de Madrid, 28040, Madrid, Spain

    Javier García Villalba

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© 2011 Springer-Verlag Berlin Heidelberg

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Jeong, S., Cho, J. (2011). Gait Recognition by Multidimensional Representation for Accumulated Silhouette. In: Kim, Th., et al. Grid and Distributed Computing. GDC 2011. Communications in Computer and Information Science, vol 261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27180-9_45

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  • DOI: https://doi.org/10.1007/978-3-642-27180-9_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27179-3

  • Online ISBN: 978-3-642-27180-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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