Dynamic video surveillance systems guided by domain ontologies
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
The Institution of Engineering and TechnologyDate
2009-12Citation
10.1049/ic.2009.0261
3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009). IET, 2009. 1-6
DOI
10.1049/ic.2009.0261Funded by
This work was partially supported by the Spanish Administration agency CDTI (CENIT-VISION 2007-1007), by the Spanish Government (TEC2007- 65400 SemanticVideo), by the Comunidad de Madrid (S-050/TIC-0223 - ProMultiDis), by Cátedra Infoglobal-UAM for “Nuevas Tecnologías de video aplicadas a la seguridad”, by the Consejería de Educación of the Comunidad de Madrid and by The European Social Fund.Project
Comunidad de Madrid. S2006/TIC-0233/PROMULTIDISEditor's Version
http://dx.doi.org/10.1049/ic.2009.0261Subjects
Domain knowledge; System knowledge; Ontologies; Dynamic framework; Video surveillance; Informática; TelecomunicacionesNote
This paper is a postprint of a paper submitted to and accepted for publication in 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009), and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library and IEEE XploreRights
© The Institution of Engineering and Technology 2009Abstract
In this paper we describe how the knowledge related to a specific domain and the available visual analysis tools can be used to create dynamic visual analysis systems for video surveillance. Firstly, the knowledge is described in terms of application domain (types of objects, events... that can appear in such domain) and system capabilities (algorithms, detection procedures...) by using an existing ontology.
Secondly, the ontology is integrated into a framework to create the visual analysis systems for each domain by inspecting the relations between the entities defined in the
domain and system knowledge. Additionally, when necessary, analysis tools could be added or removed on-line. Experiments/Application of the framework show that the
proposed approach for creating dynamic visual analysis systems is suitable for analyzing different video surveillance domains without decreasing the overall performance in terms
of computational time or detection accuracy.
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Google Scholar:San Miguel Avedillo, Juan Carlos
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Martínez Sánchez, José María
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