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Publisher: International Society of Information Fusion ISIF

Issued date: 2009

Citation: Proceedings of the 12th International Conference on Information Fusion, 2009 FUSION 09, p. 2136-2143

ISBN: 978-0-9824-4380-4

Sponsor: This work was supported in part by Projects CICYT TIN2008-06742-C02-02-TSI, CICYT TEC2008-06732-C02-02-TEC, SINPROB, CAM MADRINET S-0505-TIC-0255 and DPS2008-07029-C02-02.

Review: PeerReviewed

Publisher version: http:-www.isif.org-fusion-proceedings-fusion09CD-data-papers-0192.pdf

Keywords: High-level data fusion , Computer Vision , Surveillance systems , Ontologies

Abstract:Context knowledge is essential to achieve successful information fusion, especially at high JDL levels. Context can be used to interpret the perceived situation, which is required for accurate assessment. Both types of knowledge, contextual and perceptual, canContext knowledge is essential to achieve successful information fusion, especially at high JDL levels. Context can be used to interpret the perceived situation, which is required for accurate assessment. Both types of knowledge, contextual and perceptual, can be represented with formal languages such as ontologies, which support the creation of readable representations and reasoning with them. In this paper, we present an ontology-based model compliant with JDL to represent knowledge in cognitive visual data fusion systems. We depict the use of the model with an example on surveillance. We show that such a model promotes system extensibility and facilitates the incorporation of humans in the fusion loop.+-

Description:8 pages, 4 figures.- Contributed to: 12th International Conference on Information Fusion, 2009 FUSION 09, Seattle, Washington, US, Jul 6-9, 2009.





Author: Gómez Romero, Juan; Patricio Guisado, Miguel Ángel; García, Jesús; Molina, José M.

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


Teaser



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 2009 Ontological representation of context knowledge for visual data fusion Gómez Romero, Juan International Society of Information Fusion (ISIF) Proceedings of the 12th International Conference on Information Fusion, 2009 (FUSION 09), p.
2136-2143 http:--hdl.handle.net-10016-9322 Descargado de e-Archivo, repositorio institucional de la Universidad Carlos III de Madrid 12th International Conference on Information Fusion Seattle, WA, USA, July 6-9, 2009 Ontological representation of context knowledge for visual data fusion Juan Gómez-Romero GIAA, University Carlos III of Madrid Madrid, Spain jgromero@inf.uc3m.es Miguel A.
Patricio GIAA, University Carlos III of Madrid Madrid, Spain mpatrici@inf.uc3m.es Abstract – Context knowledge is essential to achieve successful information fusion, especially at high JDL levels. Context can be used to interpret the perceived situation, which is required for accurate assessment.
Both types of knowledge, contextual and perceptual, can be represented with formal languages such as ontologies, which support the creation of readable representations and reasoning with them.
In this paper, we present an ontology-based model compliant with JDL to represent knowledge in cognitive visual data fusion systems.
We depict the use of the model with an example on surveillance.
We show that such a model promotes system extensibility and facilitates the incorporation of humans in the fusion loop. Keywords: high-level data fusion, computer vision, surveillance systems, ontologies. 1 Introduction The ultimate objective of a visual fusion system is to detect, identify, and predict the actions that are being performed in the observation area, in order to provide users with knowledge to evaluate threats and to make decisions consequently.
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