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International Conference on Advanced Concepts for Intelligent Vision Systems

ACIVS 2017: Advanced Concepts for Intelligent Vision Systems pp 51–62Cite as

Real Time Continuous Tracking of Dynamic Hand Gestures on a Mobile GPU

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10617))

Abstract

Hand gesture recognition is an expansive and evolving field. Previous work addresses methods for tracking hand gestures with specialty gaming/desktop environments in real time. The method proposed here focuses on enhancing performance for mobile GPU platforms with restricted resources by limiting memory use/transfers and by reducing the need for code branches. An encoding scheme has been designed to allow contour processing typically used for finding fingertips to occur efficiently on a GPU for non-touch, remote manipulation of on-screen images. Results show high resolution video frames can be processed in real time on a modern mobile consumer device, allowing for fine grained hand movements to be detected and tracked.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

    Robert Prior, David Capson & Alexandra Branzan Albu

Authors
  1. Robert Prior
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  2. David Capson
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  3. Alexandra Branzan Albu
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Corresponding author

Correspondence to Alexandra Branzan Albu .

Editor information

Editors and Affiliations

  1. DGA, Paris, France

    Jacques Blanc-Talon

  2. University of Antwerp, Antwerp, Belgium

    Rudi Penne

  3. Ghent University - imec, Ghent, Belgium

    Wilfried Philips

  4. CSIRO Data 61, Canberra, Aust Capital Terr, Australia

    Dan Popescu

  5. University of Antwerp, Wilrijk, Belgium

    Paul Scheunders

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Prior, R., Capson, D., Albu, A.B. (2017). Real Time Continuous Tracking of Dynamic Hand Gestures on a Mobile GPU. In: Blanc-Talon, J., Penne, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2017. Lecture Notes in Computer Science(), vol 10617. Springer, Cham. https://doi.org/10.1007/978-3-319-70353-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-70353-4_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70352-7

  • Online ISBN: 978-3-319-70353-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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