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EnglishA 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.
| Titolo: | An evidential fusion architecture for people surveillance in wide open areas |
| Autore/i: | M. Fornaciari; SOTTARA, DAVIDE; A. Prati; MELLO, PAOLA; R. Cucchiara |
| Autore/i Unibo: | |
| Anno: | 2011 |
| Serie: | |
| Titolo del libro: | Proceedings of the 6th international conference on Hybrid Artificial Intelligent Systems |
| Pagina iniziale: | 239 |
| Pagina finale: | 246 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-642-21219-2-31 |
| 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. |
| Data prodotto definitivo in UGOV: | 28-giu-2013 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11585/112650
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