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On Human Identification Using Running Patterns: A Straightforward Approach

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Book cover Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 941))

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Abstract

Gait is a promising biometric for which various methods have been developed to recognize individuals by the pattern of their walking. Nevertheless, the possibility of identifying individuals by using their running video remains largely unexplored. This paper proposes a new and simple method that extends the feature based approach to recognize people by the way they run. In this work, 12 features were extracted from each image of a gait cycle. These are statistical, texture based and area based features. The Relief feature selection method is employed to select the most relevant features. These selected features are classified using k-NN (k-Nearest Neighbor) classifier. The experiments are carried out on KTH and Weizmann database. The obtained experimental results demonstrate the efficiency of the proposed method.

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Acknowledgment

We owe our sincere thanks to the team behind KTH action database [19] and Weizmann action database [10], for sharing the database with us, without which the work could not have been done.

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Authors and Affiliations

  1. Department of Information Technology, National Institute of Technology Karnataka, Surathkal, 575 025, Karnataka, India

    R. Anusha & C. D. Jaidhar

Authors
  1. R. Anusha
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  2. C. D. Jaidhar
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Corresponding author

Correspondence to R. Anusha .

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Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Anusha, R., Jaidhar, C.D. (2020). On Human Identification Using Running Patterns: A Straightforward Approach. In: Abraham, A., Cherukuri, A., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-16660-1_32

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