A Hybrid Intelligent System for Active Video Surveillance

Author

De Gregorio, Massimo

Author_Institution

CNR, Pozzuoli

fYear

2007

fDate

20-24 Oct. 2007

Firstpage

21

Lastpage

26

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISDA.2007.9

Filename

4389580