Multi-Agent Framework in Visual Sensor Networks

Patricio, MA; Carbo, J; Concha, OP; Garcia, J; Molina, JM

Multi-Agent Framework in Visual Sensor Networks

Patricio, MA Carbo, J Concha, OP Garcia, J Molina, JM

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Publisher:: Hindawi Publishing Corporation
Publication Type:: Journal Article
Citation:: Eurasip Journal on Advances in Signal Processing, 2007, 2007 pp. 1 - 21
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Patricio, MA	en_US
dc.contributor.author	Carbo, J	en_US
dc.contributor.author	Concha, OP	en_US
dc.contributor.author	Garcia, J	en_US
dc.contributor.author	Molina, JM	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	Eurasip Journal on Advances in Signal Processing, 2007, 2007 pp. 1 - 21	en_US
dc.identifier.issn	1687-6172	en_US
dc.identifier.uri	http://hdl.handle.net/10453/13518
dc.description.abstract	The recent interest in the surveillance of public, military, and commercial scenarios is increasing the need to develop and deploy intelligent and/or automated distributed visual surveillance systems. Many applications based on distributed resources use the socalled software agent technology. In this paper, a multi-agent framework is applied to coordinate videocamera-based surveillance. The ability to coordinate agents improves the global image and task distribution efficiency. In our proposal, a software agent is embedded in each camera and controls the capture parameters. Then coordination is based on the exchange of high-levelmessages among agents. Agents use an internal symbolic model to interpret the current situation from the messages from all other agents to improve global coordination.	en_US
dc.publisher	Hindawi Publishing Corporation	en_US
dc.relation.ispartof	Eurasip Journal on Advances in Signal Processing	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Multi-Agent Framework in Visual Sensor Networks	en_US
dc.type	Journal Article
utslib.citation.volume	2007	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Antalya, Turkey
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.volume	2007	en_US

Abstract:

The recent interest in the surveillance of public, military, and commercial scenarios is increasing the need to develop and deploy intelligent and/or automated distributed visual surveillance systems. Many applications based on distributed resources use the socalled software agent technology. In this paper, a multi-agent framework is applied to coordinate videocamera-based surveillance. The ability to coordinate agents improves the global image and task distribution efficiency. In our proposal, a software agent is embedded in each camera and controls the capture parameters. Then coordination is based on the exchange of high-levelmessages among agents. Agents use an internal symbolic model to interpret the current situation from the messages from all other agents to improve global coordination.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/13518