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Object Tracking and Motion Capturing in Hardware-Accelerated Multi-camera System

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Reconfigurable Computing: Architectures, Tools and Applications (ARC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5453))

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Abstract

This paper presents a multi-camera system where reconfigurable hardware and video codec are used to assist real-time video processing. Video inputs from all analog cameras are decoded and processed by FPGA to accelerate overall processing time. Two applications including multiple-object tracking and motion capturing are implemented in this system to verify real-time capability. In multiple-object tracking, video images are rearranged and combined into a single image that profits the tracking algorithm called multiple-CAMshift running in software. In motion capturing, every frame from all cameras, located in different angles, is processed to find the coordinates of 11 reference color-objects. Results are sent to a computer for constructing 3-D image in real-time.

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References

  1. Nguyen, K., Yeung, G., Ghiasi, S., Sarrafzadeh, M.: A General Framework for Tracking Objects in a Multi-Camera Environment. In: Proceedings of IEEE International workshop on Digital and Computational Video, pp. 200–204 (2002)

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  3. Intel Corporation: Open Source Computer Vision Library Reference Manual (2001)

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  4. Lee, W.K., Jung, S.: FPGA Design for Controlling Humanoid Robot Arms by Exoskeleton Motion Capture System. In: IEEE International Conference on Robotics and Biomimetics, pp. 1378–1383 (2006)

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  5. Manache, A.: Understanding Motion Capture for Computer Animation and Video Games. Morgan Kaufmann Publishers, San Francisco (2000)

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  6. International Telecommunication Union ITU-656, http://www.itu.int/home/index.html

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Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Mahanakorn University of Technology, 51 Cheumsampan Rd., Nongchok, Bangkok, Thailand, 10530

    Sirisak Leephokhanon & Theerayod Wiangtong

Authors
  1. Sirisak Leephokhanon
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  2. Theerayod Wiangtong
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Editor information

Editors and Affiliations

  1. Institut für Technik der Informationsverarbeitung (ITIV), Universität Karlsruhe (TH), 76128, Karlsruhe, Germany

    Jürgen Becker

  2. ECIT Institute, Queen’s University Belfast, Queen’s Road, Queen’s Island, BT3 9DT, Belfast, UK

    Roger Woods

  3. Bradley Department of Electrical and Electronic Engineering, Virginia Tech, 302 Whittemore (0111), 24061, Blacksburg, VA, USA

    Peter Athanas

  4. Department of Electronic Engineering, National University of Ireland, Galway, Ireland

    Fearghal Morgan

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© 2009 Springer-Verlag Berlin Heidelberg

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Leephokhanon, S., Wiangtong, T. (2009). Object Tracking and Motion Capturing in Hardware-Accelerated Multi-camera System. In: Becker, J., Woods, R., Athanas, P., Morgan, F. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2009. Lecture Notes in Computer Science, vol 5453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00641-8_36

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  • DOI: https://doi.org/10.1007/978-3-642-00641-8_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00640-1

  • Online ISBN: 978-3-642-00641-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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