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3D Markerless Motion Tracking in Real-Time Using a Single Camera

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Intelligent Data Engineering and Automated Learning - IDEAL 2011 (IDEAL 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6936))

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Abstract

We present a novel motion tracking system that estimates the three-dimensional position of a moving object in real time by analyzing the image stream from a single lowest-end camera. Tracking is achieved without the need of any markers, calibration, or previous knowledge about the object. Our proposal can be applied given there is enough brightness contrast of the object with its surroundings. Such a technique allows for new Human-Computer Interaction solutions to be implemented in already running systems without a significative deployment expense.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, CITIC, University of Granada, Granada, 18071, Spain

    Luis Quesada

  2. Department of Software Engineering, University of Granada, Granada, 18071, Spain

    Alejandro León

Authors
  1. Luis Quesada
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  2. Alejandro León
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, University of Manchester, Sackville Street Building, M60 1QD, Manchester, UK

    Hujun Yin

  2. School of Computing Sciences, University of East Anglia, NR4 7TJ, Norwich, UK

    Wenjia Wang

  3. University of East Anglia, NR4 7TJ, Norwich, UK

    Victor Rayward-Smith

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© 2011 Springer-Verlag Berlin Heidelberg

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Quesada, L., León, A. (2011). 3D Markerless Motion Tracking in Real-Time Using a Single Camera. In: Yin, H., Wang, W., Rayward-Smith, V. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2011. IDEAL 2011. Lecture Notes in Computer Science, vol 6936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23878-9_23

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  • DOI: https://doi.org/10.1007/978-3-642-23878-9_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23877-2

  • Online ISBN: 978-3-642-23878-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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