Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/jspui/handle/123456789/19197
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGomez Alvarado, H.es_ES
dc.contributor.authorArias Tapia, S.es_ES
dc.date.accessioned2017-06-16T22:03:07Z-
dc.date.available2013-04-23es_ES
dc.date.available2017-06-16T22:03:07Z-
dc.date.submitted03/04/2014es_ES
dc.identifierhttp://dx.doi.org/10.1080/00207721.2013.801095es_ES
dc.identifier.isbn1464-5319es_ES
dc.identifier.otherhttp://dx.doi.org/10.1080/00207721.2013.801095es_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/19197-
dc.description.abstractAutomatic systems that monitor human behaviour for detecting security problems are a challenge today. Previously, our group defined the Horus framework, which is a modular architecture for the integration of multi-sensor monitoring stages. In this work, structure and technologies required for high-level semantic stages of Horus are proposed, and the associated methodological principles established with the aim of recognising specific behaviours and situations. Our methodology distinguishes three semantic levels of events: low level (compromised with sensors), medium level (compromised with context), and high level (target behaviours). The ontology for surveillance and ubiquitous computing has been used to integrate ontologies from specific domains and together with semantic technologies have facilitated the modelling and implementation of scenes and situations by reusing components. A home context and a supermarket context were modelled following this approach, where three suspicious activities were monitored via different virtual sensors. The experiments demonstrate that our proposals facilitate the rapid prototyping of this kind of systems.es_ES
dc.languageIngléses_ES
dc.subjecthighes_ES
dc.subjectlevel activitieses_ES
dc.subjectvideo scene understandinges_ES
dc.subjecthuman behaviour recognitiones_ES
dc.subjectvideoes_ES
dc.subjectsurveillancees_ES
dc.subjectmulties_ES
dc.subjectsensory surveillancees_ES
dc.subjectontologyes_ES
dc.subjectbased recognitiones_ES
dc.titleUsing semantic technologies and the OSU ontology for modelling context and activities in multi-sensory surveillance systemses_ES
dc.typeArticlees_ES
dc.publisherInternational Journal of Systems Sciencees_ES
Appears in Collections:Artículos de revistas Científicas



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.