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.
M. Fornaciari, D. Sottara, A. Prati, P. Mello, R. Cucchiara (2011). An evidential fusion architecture for people surveillance in wide open areas. BERLIN : Springer-Verlag [10.1007/978-3-642-21219-2_31].
An evidential fusion architecture for people surveillance in wide open areas
SOTTARA, DAVIDE;MELLO, PAOLA;
2011
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
