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Gait Recognition Using Motion Trajectory Analysis

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Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017 (CORES 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 578))

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Abstract

Gait recognition has received significant attention in the recent years due to its applications in numerous fields of computer vision, particularly in automated person identification in visual surveillance and monitoring systems. In this paper, we propose a novel algorithm for gait recognition using spatio-temporal motion characteristics of a person. The proposed algorithm consists of four steps. First, motion features are extracted from video sequence which are used to generate a codebook in the second step. In a third step, the local descriptors are encoded using Fisher vector encoding. Finally, the encoded features are classified using linear Support Vector Machine (SVM). The performance of the proposed algorithm is evaluated and compared with state-of-the-art on two widely used gait databases TUM GAID and CASIA-A. The recognition results demonstrate the effectiveness of the proposed algorithm.

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Author information

Authors and Affiliations

  1. Research Group of Pattern Recognition, University of Siegen, Siegen, Germany

    Muhammad Hassan Khan & Frederic Li

  2. College of Information Technology, University of the Punjab, Lahore, Pakistan

    Muhammad Shahid Farid

  3. Faculty of Informatics and Communication, University of Economics in Katowice, Katowice, Poland

    Marcin Grzegorzek

Authors
  1. Muhammad Hassan Khan
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  2. Frederic Li
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  3. Muhammad Shahid Farid
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  4. Marcin Grzegorzek
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Corresponding author

Correspondence to Muhammad Hassan Khan .

Editor information

Editors and Affiliations

  1. Department of Systems and Computer Networks, Wrocław University of Technology, Wrocław, Poland

    Marek Kurzynski

  2. Department of Systems and Computer Networks, Wrocław University of Technology, Wroclaw, Poland

    Michal Wozniak

  3. Department of Systems and Computer Networks, Wrocław University of Technology , Wroclaw, Poland

    Robert Burduk

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Khan, M.H., Li, F., Farid, M.S., Grzegorzek, M. (2018). Gait Recognition Using Motion Trajectory Analysis. In: Kurzynski, M., Wozniak, M., Burduk, R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-59162-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-59162-9_8

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  • Publisher Name: Springer, Cham

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