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dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorDe Paz, Juan F. 
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorTapia Martínez, Dante I.
dc.contributor.authorPérez, Belén
dc.date.accessioned2017-09-06T09:15:24Z
dc.date.available2017-09-06T09:15:24Z
dc.date.issued2009
dc.identifier.citationBio-Inspired Systems: Computational and Ambient Intelligence Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 5517, pp. 1256-1263.
dc.identifier.isbn978-3-642-02477-1 (Print) / 978-3-642-02478-8 (Online)
dc.identifier.issn0302-9743 (Print) / 1611-3349 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134979
dc.description.abstractThis article presents a distributed agent-based architecture that can process the visual information obtained by stereoscopic cameras. The system is embedded within a global project whose objective is to develop an intelligent environment for location and identification within dependent environments that merge with other types of technologies. Vision algorithms are very costly and take a lot of time to respond, which is highly inconvenient if we consider that many applications can require action to be taken in real time. An agent architecture can automate the process of analyzing images obtained by cameras, and optimize the procedure.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.subjectComputer Science
dc.titleStereo-MAS: Multi-Agent System for Image Stereo Processing
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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