An Evidential Fusion Architecture for People Surveillance in Wide Open Areas

  • M. Fornaciari
  • D. Sottara
  • A. Prati
  • P. Mello
  • R. Cucchiara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6678)


A new evidential fusion architecture is proposed to build an hybrid artificial intelligent system for people surveillance in wide open areas. Authorized people and intruders are identified and localized thanks to the joint employment of cameras and RFID tags. Complex Event Processing and Transferable Belief Model are exploited for handling noisy data and uncertainty propagation. Experimental results on complex synthetic scenarios demonstrate the accuracy of the proposed solution.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Sanpechuda, T., Kovavisaruch, L.: A review of RFID localization: Applications and techniques. In: ECTI-CON, pp. 769–772 (2008)Google Scholar
  2. 2.
    Xin, H., Janaswamy, R., Ganz, A.: Scout: Outdoor localization using active RFID technology. In: BROADNETS, pp. 1–10 (2006)Google Scholar
  3. 3.
    Smets, P.: The transferable belief model. Artif. Intell. 66, 191–234 (1994)MathSciNetCrossRefzbMATHGoogle Scholar
  4. 4.
    Guironnet, M., Pellerin, D., Rombaut, M.: A fusion architecture based on tbm for camera motion classification. Image Vision Comput. 25, 1737–1747 (2007)CrossRefGoogle Scholar
  5. 5.
    Clerentin, A., Delahoche, L., Marhic, B., Delafosse, M., Allart, B.: An evidential fusion architecture for advanced driver assistance. In: IEEE/RSJ IROS, pp. 327–332 (2009)Google Scholar
  6. 6.
    Medsker, L.: Hybrid Intelligent Systems. Kluwer Academic Pub., Dordrecht (1995)CrossRefzbMATHGoogle Scholar
  7. 7.
    Corchado, E., Abraham, A., de Carvalho, A.: Editorial: Hybrid intelligent algorithms and applications. Inf. Sci. 180, 2633–2634 (2010)CrossRefGoogle Scholar
  8. 8.
    Herrero, Á., Corchado, E., Pellicer, M.A., Abraham, A.: Movih-ids: A mobile-visualization hybrid intrusion detection system. Neurocomp. 72, 2775–2784 (2009)CrossRefGoogle Scholar
  9. 9.
    Tapia, D.I., Fraile, J.A., de Luis, A., Bajo, J.: Healthcare information fusion using context-aware agents. In: Graña Romay, M., Corchado, E., Garcia Sebastian, M.T. (eds.) HAIS 2010. LNCS, vol. 6076, pp. 96–103. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  10. 10.
    Villar, J.R., de la Cal, E., Sedano, J.: Hybrid Artificial Intelligence Systems: Minimizing energy consumption in heating systems under uncertainty. In: Corchado, E., Abraham, A., Pedrycz, W. (eds.) HAIS 2008. LNCS (LNAI), vol. 5271, pp. 583–590. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  11. 11.
    Cucchiara, R., Fornaciari, M., Prati, A., Santinelli, P.: Mutual calibration of camera motes and rfids for people localization and identification. In: ACM/IEEE ICDSC, pp. 1–8 (2010)Google Scholar
  12. 12.
    Luckham, D.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley Longman, Amsterdam (2002)Google Scholar
  13. 13.
    Paschke, A.: A homogenous reaction rule language for complex event processing. In: EDA-PS (2007)Google Scholar
  14. 14.
    Dubois, D., Prade, H., Smets, P.: New semantics for quantitative possibility theory. In: Benferhat, S., Besnard, P. (eds.) ECSQARU 2001. LNCS (LNAI), vol. 2143, pp. 410–421. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  15. 15.
    Jousselme, A.L., Grenier, D.: loi Boss: A new distance between two bodies of evidence. Information Fusion 2, 91–101 (2001)CrossRefGoogle Scholar
  16. 16.
    Smets, P.: Analyzing the combination of conflicting belief functions. Inf. Fusion 8, 387–412 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • M. Fornaciari
    • 1
  • D. Sottara
    • 2
  • A. Prati
    • 3
  • P. Mello
    • 2
  • R. Cucchiara
    • 1
  1. 1.DIIUniv. of Modena and Reggio E.ModenaItaly
  2. 2.DEISUniv. of BolognaBolognaItaly
  3. 3.DISMIUniv. of Modena and Reggio E.R.E.Italy

Personalised recommendations