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Man-Machine Interactions 3 pp 79–86Cite as

Wrist Localization in Color Images for Hand Gesture Recognition

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 242))

Abstract

In this paper we present an extensive study of a two-stage algorithm for wrist localization in color images, which is an important and challenging, yet not extensively studied, step in gesture recognition systems. In the first stage of the algorithm, a color hand image is subject to skin segmentation. Secondly, the wrist is localized in a corresponding binarized skin probability map. In our two-stage approach, the algorithms for both localization stages can be developed and compared separately. Here, we compare our propagation-based skin segmentation algorithm and real-time wrist localization algorithm with other state-of-the-art approaches based on our set of 414 color hand images using two independent sets of ground-truth data.

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Author information

Authors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Jakub Nalepa, Tomasz Grzejszczak & Michal Kawulok

  2. Future Processing, Gliwice, Poland

    Jakub Nalepa

Authors
  1. Jakub Nalepa
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  2. Tomasz Grzejszczak
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  3. Michal Kawulok
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Corresponding author

Correspondence to Jakub Nalepa .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dr. Aleksandra Gruca

  2. Polish Academy of Sciences and Silesian University of Technology, Gliwice, Poland

    Tadeusz Czachórski

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

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© 2014 Springer International Publishing Switzerland

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Nalepa, J., Grzejszczak, T., Kawulok, M. (2014). Wrist Localization in Color Images for Hand Gesture Recognition. In: Gruca, D., Czachórski, T., Kozielski, S. (eds) Man-Machine Interactions 3. Advances in Intelligent Systems and Computing, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-02309-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-02309-0_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02308-3

  • Online ISBN: 978-3-319-02309-0

  • eBook Packages: EngineeringEngineering (R0)

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