Title :
A Hybrid Intelligent System for Active Video Surveillance
Author :
De Gregorio, Massimo
Author_Institution :
CNR, Pozzuoli
Abstract :
In this paper we propose a new approach to active video surveillance intelligence systems based on the integration of artificial neural networks (ANN) and symbolic Artificial Intelligence (AI). In particular, the neurosymbolic hybrid system here presented is formed by virtual neural sensors (WiSARD-like systems) and BDI agents. The coupling of virtual neural sensors with symbolic reasoning for interpreting their outputs, makes this approach both very light from the computational and hardware point of view and quite robust in performances.
Keywords :
artificial intelligence; neural nets; video surveillance; WiSARD-like systems; active video surveillance intelligence systems; artificial intelligence; artificial neural networks; hybrid intelligent system; neurosymbolic hybrid system; virtual neural sensors; Artificial intelligence; Artificial neural networks; Hardware; Hybrid intelligent systems; Intelligent networks; Intelligent sensors; Optical coupling; Robustness; Sensor systems; Video surveillance;
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
DOI :
10.1109/ISDA.2007.9
