An ontology for event detection and its application in surveillance video
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Institute of Electrical and Electronics EngineersDate
2009Citation
10.1109/AVSS.2009.28
Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance. AVSS 2009, IEEE 2009. 220-225
ISBN
978-0-7695-3718-4 (online); 978-1-4244-4755-8 (print)DOI
10.1109/AVSS.2009.28Funded by
This work is 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 the Consejería de Educación of the Comunidad de Madrid and by The European Social FundProject
Comunidad de Madrid. S2006/TIC-0233/PROMULTIDISEditor's Version
http://dx.doi.org/10.1109/AVSS.2009.28Subjects
Knowledge representation; Object detection; Ontologies (artificial intelligence); Video surveillance; Informática; TelecomunicacionesNote
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. C. SanMiguel, J. M. Martínez, and Á. García, "An ontology for event detection and its application in surveillance video", in Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009, p. 220 - 225Rights
© 2009 IEEEAbstract
In this paper, we propose an ontology for representing the prior knowledge related to video event analysis. It is composed of two types of knowledge related to the application domain and the analysis system. Domain knowledge involves all the high level semantic concepts in the context of each examined domain (objects, events, context...) whilst system knowledge involves the capabilities of the analysis system (algorithms, reactions to events...). The proposed ontology has been structured in two parts: the basic ontology (composed of the basic concepts and their specializations) and the domain-specific extensions. Additionally, a video analysis framework based on the proposed ontology is defined for the analysis of different application domains showing the potential use of the proposed ontology. In order to show the real applicability of the proposed ontology, it is specialized for the underground video-surveillance domain showing some results that demonstrate the usability and effectiveness of the proposed ontology.
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Google Scholar:San Miguel Avedillo, Juan Carlos
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Martínez Sánchez, José María
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García-Martín, Álvaro
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