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Dynamic Hand Gesture Recognition Using Centroid Tracking

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Intelligent Computing Theories and Methodologies (ICIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9225))

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Abstract

In many dynamic hand gesture recognition contexts, time information is not adequately used. The extracted features of dynamic gestures usually do not carry explicit information about time in gesture classification. This results in under-utilized data for more important accurate classification. Another disadvantage is that the gesture classification is then confined to only simple gestures. We have overcome these limitations by introducing centroid tracking of hand gestures that captures and retains the time sequence information for feature extraction. This simplifies the classification of dynamic gestures as movement in time helps efficient classification without burdensome processing.

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Author information

Authors and Affiliations

  1. School of Electrical Computer and Telecommunications Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, North Wollongong, NSW, Australia

    Prashan Premaratne, Shuai Yang, Peter Vial & Zubair Ifthikar

Authors
  1. Prashan Premaratne
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  2. Shuai Yang
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  3. Peter Vial
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  4. Zubair Ifthikar
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Corresponding author

Correspondence to Prashan Premaratne .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Polytecnic of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, New South Wales, Australia

    Prashan Premaratne

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© 2015 Springer International Publishing Switzerland

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Premaratne, P., Yang, S., Vial, P., Ifthikar, Z. (2015). Dynamic Hand Gesture Recognition Using Centroid Tracking. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9225. Springer, Cham. https://doi.org/10.1007/978-3-319-22180-9_62

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  • DOI: https://doi.org/10.1007/978-3-319-22180-9_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22179-3

  • Online ISBN: 978-3-319-22180-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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