An evidential fusion architecture for people surveillance in wide open areas
Abstract: A new evidential fusion architecture is proposed to build anhybrid articial intelligent system for people surveillance in wide open areas. Authorized people and intruders are identied 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.
Citation:
Fornaciari, M.; Sottara, D.; Prati, A.; Mello, P.; Cucchiara, R. "An evidential fusion architecture for people surveillance in wide open areas" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6678, Wroclaw, Poland, pp. 239 -246 , May 23-25, 2011., 2011 DOI: 10.1007/978-3-642-21219-2_31not available