A Context-Based Surveillance Framework for Large Infrastructures

  • Oscar Ripolles
  • Julia Silla
  • Josep Pegueroles
  • Juan Saenz
  • José Simó
  • Cristina Sandoval
  • Mario Viktorov
  • Ana Gomez
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 153)

Abstract

In this paper we present the control and surveillance platform that is currently being developed within the ViCoMo project. This project is aimed at developing a context modeling system which can reconstruct the events that happen in a large infrastructure. The data is presented through a 3D visualization where all the information collected from the different cameras can be displayed at the same time. The 3D environment has been modeled with high accuracy to assure a correct simulation of the scenario. A special emphasis has been put on the development of a fast and secure network to manage the data that is generated. We present some initial results obtained from seven cameras located in a Port Terminal in Spain.

Keywords

Video Surveillance Building Information Modeling Optical Character Recognition Mooring Line Master Station 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Open Source Computer Vision, http://opencv.willowgarage.com/wiki
  2. 2.
    Albiol, A., Mora, I., Naranjo, V.: Real-time high density people counter using morphological tools. IEEE Transactions on Intelligent Transportation Systems 2(4), 204–217 (2001)CrossRefGoogle Scholar
  3. 3.
    Albiol, A., Silla, J., Albiol, A., Mossi, J., Sanchis, L.: Automatic video annotation and event detection for video surveillance. IET Seminar Digests 2009(2), P42 (2009)Google Scholar
  4. 4.
    P.S.I. Alliance. PSIA standard, http://www.psialliance.org
  5. 5.
    Autodesk Inc. Autodesk 3ds max, http://usa.autodesk.com/adsk
  6. 6.
    Black, J., Ellis, T., Rosin, P.: Multi view image surveillance and tracking. In: Proceedings of the Workshop on Motion and Video Computing, MOTION 2002, p. 169 (2002)Google Scholar
  7. 7.
    de Haan, G., Scheuer, J., de Vries, R., Post, F.: Egocentric navigation for video surveillance in 3D virtual environments. In: IEEE Workshop on 3D User Interfaces, pp. 103–110 (2009)Google Scholar
  8. 8.
    Fleck, S., Busch, F., Biber, P., Strasser, W.: 3D surveillance a distributed network of smart cameras for real-time tracking and its visualization in 3D. In: CVPRW 2006, p. 118 (2006)Google Scholar
  9. 9.
    Google Inc., Tesseract OCR, http://code.google.com/p/tesseract-ocr
  10. 10.
  11. 11.
    D.U. Group. Distributed Network Protocol (DNP3), http://www.dnp.org
  12. 12.
    ONVIF. ONVIF core specification ver 2.1. (2011), http://www.onvif.org
  13. 13.
    Osfield, R., Burns, D.: OpenSceneGraph, http://www.openscenegraph.org
  14. 14.
    Rieffel, E.G., Girgensohn, A., Kimber, D., Chen, T., Liu, Q.: Geometric tools for multicamera surveillance systems. In: IEEE Int. Conf. on Distributed Smart Cameras (2007)Google Scholar
  15. 15.
    Sebe, I., Hu, J., You, S., Neumann, U.: 3D video surveillance with augmented virtual environments. In: ACM SIGMM Workshop on Video Surveillance, pp. 107–112 (2003)Google Scholar
  16. 16.
    Sentinel AVE LLC. AVE video fusion (2010), http://www.sentinelAVE.com
  17. 17.
    Smith, R.: An Overview of the Tesseract OCR Engine. In: Proceedings of the 9th International Conference on Document Analysis and Recognition, vol. 2, pp. 629–633 (2007)Google Scholar
  18. 18.
    Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. ACM Comput. Surv. 38, 1–45 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Oscar Ripolles
    • 1
  • Julia Silla
    • 2
  • Josep Pegueroles
    • 3
  • Juan Saenz
    • 4
  • José Simó
    • 1
  • Cristina Sandoval
    • 2
  • Mario Viktorov
    • 3
  • Ana Gomez
    • 5
  1. 1.Inst. of Control Systems and Industrial Computing (ai2)Universitat Politécnica de ValenciaValenciaSpain
  2. 2.Visual-ToolsMadridSpain
  3. 3.Dep. d’Enginyeria TelemàticaUniversitat Politècnica de CatalunyaBarcelonaSpain
  4. 4.Acciona TrasmediterráneaMadridSpain
  5. 5.Acciona InfraestructurasMadridSpain

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