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Publisher: International Society of Information Fusion ISIFInstitute of Electrical and Electronics Engineers IEEE

Issued date: 2008

Citation: Proceedings of the 11th International Conference on Information Fusion, 2008, p. 1-6

ISBN: 978-3-8007-3092-6

DOI: 10.1109-ICIF.2008.4632357

Sponsor: This work was partially supported by projects MADRINET, TEC2005-07186-C03-02, SINPROB, TSI2005-07344-C02-02.

Review: PeerReviewed

Publisher version: http:-dx.doi.org-10.1109-ICIF.2008.4632357

Keywords: Multi-Agent System , Distributed Data Fusion , Visual Sensor Networks

Abstract:In this paper, we detail some technical alternatives when building a coherent distributed visual sensor network by using the multi-agent paradigm. We argue that the multi-agent paradigm fits well within the visual sensor network architecture and in this paper In this paper, we detail some technical alternatives when building a coherent distributed visual sensor network by using the multi-agent paradigm. We argue that the multi-agent paradigm fits well within the visual sensor network architecture and in this paper we specially focus on the problem of distributed data fusion. Three different data fusion coordination schemes are proposed and experimental results of passive fusion are presented and discussed. The main contributions of this paper are twofold, first we propose the use of multi-agent paradigm as the visual sensor architecture and present a real system results. Secondly, the use of feedback information in the visual sensors, called active fusion, is proposed. The experimental results prove that the multi-agent paradigm fits well within the visual sensor network and provide a novel mechanism to develop a real visual sensor network system.+-

Description:6 pages, 10 figures.- Contributed to: 11th International Conference on Information Fusion FUSION2008, Cologne, Germany, Jun 30-Jul 3, 2008.





Author: Castanedo, Federico; García, Jesús; Patricio Guisado, Miguel Ángel; Molina, José M.

Source: http://e-archivo.uc3m.es


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Universidad Carlos III de Madrid Repositorio institucional e-Archivo http:--e-archivo.uc3m.es Grupo de Inteligencia Artificial Aplicada (GIAA) DI - GIAA - Comunicaciones en Congresos y otros eventos 2008 Analysis of distributed fusion alternatives in coordinated vision agents Castanedo, Federico International Society of Information Fusion (ISIF) Proceedings of the 11th International Conference on Information Fusion, 2008, p.
1-6 http:--hdl.handle.net-10016-9323 Descargado de e-Archivo, repositorio institucional de la Universidad Carlos III de Madrid Analysis of Distributed Fusion Alternatives in Coordinated Vision Agents Federico Castanedo, Jesús Garcı́a, Miguel A.
Patricio and José M.
Molina Applied Artificial Intelligence Group Computer Science Department University Carlos III of Madrid, Spain. {fcastane, jgherrer, mpatrici}@inf.uc3m.es, molina@ia.uc3m.es Abstract—In this paper, we detail some technical alternatives when building a coherent distributed visual sensor network by using the Multi-Agent paradigm.
We argue that the Multi-Agent paradigm fits well within the visual sensor network architecture and in this paper we specially focus on the problem of distributed data fusion.
Three different data fusion coordination schemes are proposed and experimental results of Passive Fusion are presented and discussed.
The main contributions of this paper are twofold, first we propose the use of Multi-Agent paradigm as the visual sensor architecture and present a real system results. Secondly, the use of feedback information in the visual sensors, called Active Fusion, is proposed.
The experimental results prove that the Multi-Agent paradigm fits well within the visual sensor network and provide a novel mechanism to develop a real visual sensor network system. Keywords: Multi-Agent Systems, Distributed Data Fusion, Visual Sensor Networks I.
I NTRODUCTION In this paper we report our results when building a MultiAgent visual sensor network.
Sensor networks ...





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