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Fusion of Radio and Video Localization for People Tracking

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Ambient Intelligence (AmI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7040))

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Abstract

In this paper we introduce a hybrid people tracking system based on the combined use of RFID UWB technology and computer vision techniques. The proposed system takes advantage of the different characteristics of the vision and wireless subsystems to achieve better accuracy and reliability for people tracking. Moreover data gained from the subsystems can be used for a more complex context capture system and can be seen as an enabler of a number of application from video-surveillance to Ambient Intelligence scenarios. Different scenarios have been tested to assess the feasibility and performance of the system. Experimental results demonstrate advantages in people tracking tasks encouraging further researches.

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References

  1. Snidaro, L., Micheloni, C., Chiavedale, C.: Video security for ambient intelligence. IEEE Trans. on Systems. Man and Cybernetics, Part A: Systems and Humans 35(1), 133–144 (2005)

    Article  Google Scholar 

  2. Jia, S., Sheng, J., Chugo, D., Takase, K.: Human recognition using RFID technology and stereo vision. In: IEEE Int. Conf. on ROBIO 2007, December 15-18, pp. 1488–1493 (2007)

    Google Scholar 

  3. Cerrada, C., Salamanca, S., Perez, E., Cerrada, J.A., Abad, I.: Fusion of 3D Vision Techniques and RFID Technology for Object Recognition in Complex Scenes. In: IEEE Int. Symp. on Intelligent Signal Processing, WISP 2007, October 3-5, pp. 1–6 (2007)

    Google Scholar 

  4. Matthieu, A., Crowley, J.L., Devin, V., Privat, G.: Localisation intra-bâtiment multi-technologies: RFID, Wi-Fi, vision. In: Ubimob 2005, Grenoble, France, pp. 29–35 (2005)

    Google Scholar 

  5. Collins, R.T., Lipton, A.J., Fujiyoshi, H., Kanade, T.: Algorithms for cooperative multisensory surveillance. Proc. of IEEE 89(10), 1456–1477 (2001)

    Article  Google Scholar 

  6. Ubisense Research Package, http://www.ubisense.net/en/resources/factsheets/ubisense-research-package.html (last visit August 2011)

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Electronic Engineering, University of Cagliari, Italy

    Massimiliano Dibitonto, Antonio Buonaiuto, Gian Luca Marcialis & Fabio Roli

  2. C.A.T.T.I.D. Sapienza University of Rome, Italy

    Massimiliano Dibitonto & Carlo Maria Medaglia

  3. Ambient Intelligence Laboratory, Sardegna Ricerche, Pula, Italy

    Daniele Muntoni

Authors
  1. Massimiliano Dibitonto
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  2. Antonio Buonaiuto
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  3. Gian Luca Marcialis
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  4. Daniele Muntoni
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  5. Carlo Maria Medaglia
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  6. Fabio Roli
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Editor information

Editors and Affiliations

  1. Delft University of Technology, Landbergstraat 15, 2628CE, Delft, The Netherlands

    David V. Keyson

  2. College of Information Studies, University of Maryland, College Park, 2117E Hornbake Hall, 20742-4345, Marylandm, USA

    Mary Lou Maher

  3. Smart Future Initiative, Konrad-Zuse-Str. 43, 60438, Frankfurt, Germany

    Norbert Streitz

  4. Keio University, Japan and National University of Singapore, Heng Miu Keng Terrace 02-01-01A, 119613, Singapore

    Adrian Cheok

  5. School of Computing and Mathematics, University of Ulster, Shore Road, BT37 0QB, Newtownabbey, Co. Antrim, UK

    Juan Carlos Augusto

  6. Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  7. Informatics Institute, University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Gwenn Englebienne

  8. Ambient Intelligence Research Lab., Stanford University and Ghent University, 350 Serra Mall, David Packard #318, 94305-9515, Stanford, CA, USA

    Hamid Aghajan

  9. Informatics Institute, University of Amsterdam and Amsterdam University of Applied Sciences, Science Park 904, 1098XH, Amsterdam, The Netherlands

    Ben J. A. Kröse

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© 2011 Springer-Verlag Berlin Heidelberg

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Dibitonto, M., Buonaiuto, A., Marcialis, G.L., Muntoni, D., Medaglia, C.M., Roli, F. (2011). Fusion of Radio and Video Localization for People Tracking. In: Keyson, D.V., et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_35

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  • DOI: https://doi.org/10.1007/978-3-642-25167-2_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25166-5

  • Online ISBN: 978-3-642-25167-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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