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A Dempster-Shafer Theory Based Combination of Classifiers for Hand Gesture Recognition

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Computer Vision and Computer Graphics. Theory and Applications (VISIGRAPP 2007)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 21))

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Abstract

As part of our work on hand gesture interpretation, we present our results on hand shape recognition. Our method is based on attribute extraction and multiple partial classifications. The novelty lies in the fashion the fusion of all the partial classification results are performed. This fusion is (1) more efficient in terms of information theory and leads to more accurate results, (2) general enough to allow heterogeneous sources of information to be taken into account: Each classifier output is transformed to a belief function, and all the corresponding functions are fused together with other external evidential sources of information.

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Author information

Authors and Affiliations

  1. Gipsa-Lab, Institut National Polytechnique de Grenoble, 46 av. Felix Viallet, Grenoble, France

    Thomas Burger & Alice Caplier

  2. Dep. of Comp. Eng., Bogazici University, Bebek, 34342, Istanbul, Turkey

    Oya Aran & Lale Akarun

  3. France Telecom R&D employee during this research conduction, France

    Thomas Burger & Alexandra Urankar

Authors
  1. Thomas Burger
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  2. Oya Aran
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  3. Alexandra Urankar
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  4. Alice Caplier
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  5. Lale Akarun
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Editor information

Editors and Affiliations

  1. Departamento de Sistemas e Informatica, Escola Superior de Tecnologia do IPS, Estefanilha,, Rua do Vale de Chaves, 2910, Setúbal, Portugal

    José Braz

  2. INSTICC, Avenida D. Manuel I, 2910, Setúbal, Portugal

    Alpesh Ranchordas

  3. Institute for Systems and Robotics, Department of Electrical and Computer Engineering Polo II, University of Coimbra, 3030-290, Coimbra, Portugal

    Hélder J. Araújo

  4. IST/INESC-ID, Rua Alves Redol 9, 1000-029, Lisboa, Portugal

    João Madeiras Pereira

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© 2008 Springer-Verlag Berlin Heidelberg

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Burger, T., Aran, O., Urankar, A., Caplier, A., Akarun, L. (2008). A Dempster-Shafer Theory Based Combination of Classifiers for Hand Gesture Recognition. In: Braz, J., Ranchordas, A., Araújo, H.J., Pereira, J.M. (eds) Computer Vision and Computer Graphics. Theory and Applications. VISIGRAPP 2007. Communications in Computer and Information Science, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89682-1_10

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  • DOI: https://doi.org/10.1007/978-3-540-89682-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89681-4

  • Online ISBN: 978-3-540-89682-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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