In this paper we present an intelligent active video surveillance system currently adopted in two different application domains: railway tunnels and outdoor storage areas. The system takes advantages of the integration of Artificial Neural Networks (ANN) and symbolic Artificial Intelligence (AI). This hybrid system is formed by virtual neural sensors (implemented as 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 a computational and hardware point of view, and rather robust in performances. The system works on different scenarios and in difficult light conditions.
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Massimo DE GREGORIO, "An Intelligent Active Video Surveillance System Based on the Integration of Virtual Neural Sensors and BDI Agents" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 7, pp. 1914-1921, July 2008, doi: 10.1093/ietisy/e91-d.7.1914.
Abstract: In this paper we present an intelligent active video surveillance system currently adopted in two different application domains: railway tunnels and outdoor storage areas. The system takes advantages of the integration of Artificial Neural Networks (ANN) and symbolic Artificial Intelligence (AI). This hybrid system is formed by virtual neural sensors (implemented as 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 a computational and hardware point of view, and rather robust in performances. The system works on different scenarios and in difficult light conditions.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.7.1914/_p
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@ARTICLE{e91-d_7_1914,
author={Massimo DE GREGORIO, },
journal={IEICE TRANSACTIONS on Information},
title={An Intelligent Active Video Surveillance System Based on the Integration of Virtual Neural Sensors and BDI Agents},
year={2008},
volume={E91-D},
number={7},
pages={1914-1921},
abstract={In this paper we present an intelligent active video surveillance system currently adopted in two different application domains: railway tunnels and outdoor storage areas. The system takes advantages of the integration of Artificial Neural Networks (ANN) and symbolic Artificial Intelligence (AI). This hybrid system is formed by virtual neural sensors (implemented as 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 a computational and hardware point of view, and rather robust in performances. The system works on different scenarios and in difficult light conditions.},
keywords={},
doi={10.1093/ietisy/e91-d.7.1914},
ISSN={1745-1361},
month={July},}
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TY - JOUR
TI - An Intelligent Active Video Surveillance System Based on the Integration of Virtual Neural Sensors and BDI Agents
T2 - IEICE TRANSACTIONS on Information
SP - 1914
EP - 1921
AU - Massimo DE GREGORIO
PY - 2008
DO - 10.1093/ietisy/e91-d.7.1914
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2008
AB - In this paper we present an intelligent active video surveillance system currently adopted in two different application domains: railway tunnels and outdoor storage areas. The system takes advantages of the integration of Artificial Neural Networks (ANN) and symbolic Artificial Intelligence (AI). This hybrid system is formed by virtual neural sensors (implemented as 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 a computational and hardware point of view, and rather robust in performances. The system works on different scenarios and in difficult light conditions.
ER -