Ontology-based context representation and reasoning for object tracking and scene interpretation in video

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dc.contributor.author Gómez Romero, Juan
dc.contributor.author Patricio Guisado, Miguel Ángel
dc.contributor.author García, Jesús
dc.contributor.author Molina, José M.
dc.date.accessioned 2014-03-07T11:21:06Z
dc.date.available 2014-03-07T11:21:06Z
dc.date.issued 2011-06
dc.identifier.bibliographicCitation Expert Systems with Applications (2011), 38 (6), pp. 7494–7510.
dc.identifier.issn 0957-4174
dc.identifier.uri http://hdl.handle.net/10016/18433
dc.description.abstract Computer vision research has been traditionally focused on the development of quantitative techniques to calculate the properties and relations of the entities appearing in a video sequence. Most object tracking methods are based on statistical methods, which often result inadequate to process complex scenarios. Recently, new techniques based on the exploitation of contextual information have been proposed to overcome the problems that these classical approaches do not solve. The present paper is a contribution in this direction: we propose a Computer Vision framework aimed at the construction of a symbolic model of the scene by integrating tracking data and contextual information. The scene model, represented with formal ontologies, supports the execution of reasoning procedures in order to: (i) obtain a high-level interpretation of the scenario; (ii) provide feedback to the low-level tracking procedure to improve its accuracy and performance. The paper describes the layered architecture of the framework and the structure of the knowledge model, which have been designed in compliance with the JDL model for Information Fusion. We also explain how deductive and abductive reasoning is performed within the model to accomplish scene interpretation and tracking improvement. To show the advantages of our approach, we develop an example of the use of the framework in a video-surveillance application.
dc.description.sponsorship 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.
dc.format.extent 17
dc.format.mimetype application/pdf
dc.language.iso eng
dc.rights © 2010 Elsevier Ltd.
dc.subject.other Object tracking
dc.subject.other Information Fusion
dc.subject.other Context aware systems
dc.subject.other Ontologies
dc.subject.other Rules
dc.title Ontology-based context representation and reasoning for object tracking and scene interpretation in video
dc.type article
dc.description.status Publicado
dc.subject.eciencia Informática
dc.identifier.doi 10.1016/j.eswa.2010.12.118
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 7494
dc.identifier.publicationissue 6
dc.identifier.publicationlastpage 7510
dc.identifier.publicationtitle Expert systems with applications
dc.identifier.publicationvolume 38
dc.identifier.uxxi AR/0000007679
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