The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 현재 철도 터널과 실외 보관 구역이라는 두 가지 다른 응용 분야에 채택된 지능형 능동 영상 감시 시스템을 제시합니다. 이 시스템은 인공신경망(ANN)과 상징적 인공지능(AI)의 통합을 활용합니다. 이 하이브리드 시스템은 가상 신경 센서(WiSARD와 유사한 시스템으로 구현됨)와 BDI 에이전트로 구성됩니다. 출력을 해석하기 위한 상징적 추론과 가상 신경 센서의 결합은 이 접근 방식을 계산 및 하드웨어 관점에서 매우 가볍고 성능면에서 다소 견고하게 만듭니다. 이 시스템은 다양한 시나리오와 어려운 조명 조건에서 작동합니다.
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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},}
부
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 -