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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2005: Knowledge-Based Intelligent Information and Engineering Systems pp 682–688Cite as

Person Tracking with Infrared Sensors

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

Abstract

We consider a person tracking system that is robust to environmental changes and users are unaware of. Once a user is identified at an entrance door in a room with his/her biometrics, we can keep tracking the user continuously. The pyroelectric infrared sensors in the ceiling are used for this goal. These sensors are resistant to environmental changes, but give only a weak piece of evidence. We applied a Bayesian network to infer the position of the user, and investigated how the Bayesian network works. We gained 64.0% in average for a single-person tracking.

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References

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Author information

Authors and Affiliations

  1. Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-8628, Japan

    Taisuke Hosokawa & Mineichi Kudo

Authors
  1. Taisuke Hosokawa
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  2. Mineichi Kudo
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Hosokawa, T., Kudo, M. (2005). Person Tracking with Infrared Sensors. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_95

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  • DOI: https://doi.org/10.1007/11554028_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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