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Robust Gait Recognition Using Planar Homography and Shape Sequence Descriptor

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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

In the gait recognition, the dependency to the direction of walking is very serious problem. To reduce this dependency, we propose a view synthesis method based on the planar homography. However, even though the synthesized gait is used, shape information is not enough to recognize individual. Thus, in this paper, we use shape sequence descriptor for recognition, which describes shape information and variation according to motion at a same time. Our experiments show that the proposed method efficiently reduces the dependency to directional variations of gait.

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References

  1. Lee, L., Grimson, W.E.L.: Gait Appearance for Recognition. In: Proc. ECCV Workshop, Biometric Authentication, pp. 143–154 (2002)

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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 & Youngsuk Lee

  2. Department of Multimedia, Chungwoon University, San 29 Namjang-ri, Hongseong-eup, Hongseong-gun, Chungnam, 350-701, South Korea

    Keun-Wang Lee

  3. 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. Youngsuk Lee
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  3. Keun-Wang Lee
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  4. 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., Lee, Y., Lee, KW., Cho, J. (2011). Robust Gait Recognition Using Planar Homography and Shape Sequence Descriptor. 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_59

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  • DOI: https://doi.org/10.1007/978-3-642-27180-9_59

  • 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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