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Real-Time Tracking of Articulated Human Models Using a 3D Shape-from-Silhouette Method

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Robot Vision (RobVis 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1998))

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Abstract

This paper describes a system, which acquires 3D data and tracks an eleven degree of freedom human model in real-time. Using four cameras we create a time-varying volumetric image (a visual hull) of anything moving in the space observed by all four cameras. The sensor is currently operating in a volume of approximately 500,000 voxels (1.5 inch cubes) at a rate of 25 Hz. The system is able to track the upper body dynamics of a human (x,y position of the body, a torso rotation, and four rotations per arm). Both data acquisition and tracking occur on one computer at a rate of 16 Hz. We also developed a calibration procedure, which allows the system to be moved and be recalibrated quickly. Furthermore we display in real-time, either the data overlaid with the joint locations or a human avatar. Lastly our system has been implemented to perform crane gesture recognition.

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References

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Author information

Authors and Affiliations

  1. Dept. of Engineering, Colorado School of Mines, Colorado

    Jason Luck

  2. Dept. of Computer Science, Sandia National Labs, Intelligent Systems University of New Mexico, USA

    Dan Small

  3. Sandia National Labs, Intelligent Systems, USA

    Charles Q. Little

Authors
  1. Jason Luck
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  2. Dan Small
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  3. Charles Q. Little
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Editor information

Editors and Affiliations

  1. Center for Image Technology and Robotics (CITR Tamaki), The University of Auckland, Tamaki Campus, Building 731, 1005, Auckland, New Zealand

    Reinhard Klette

  2. Department of Computer Science, The Hebrew University of Jerusalem, Givat Ram, Ross Building, 91904, Jerusalem, Israel

    Shmuel Peleg

  3. Institut für Informatik, Universitäet Kiel, Preusserstr.1-9, 24105, Kiel, Germany

    Gerald Sommer

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© 2001 Springer-Verlag Berlin Heidelberg

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Luck, J., Small, D., Little, C.Q. (2001). Real-Time Tracking of Articulated Human Models Using a 3D Shape-from-Silhouette Method. In: Klette, R., Peleg, S., Sommer, G. (eds) Robot Vision. RobVis 2001. Lecture Notes in Computer Science, vol 1998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44690-7_3

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  • DOI: https://doi.org/10.1007/3-540-44690-7_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41694-4

  • Online ISBN: 978-3-540-44690-3

  • eBook Packages: Springer Book Archive

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