Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/handle/123456789/19197
Title: Using semantic technologies and the OSU ontology for modelling context and activities in multi-sensory surveillance systems
Authors: Gomez Alvarado, H.
Arias Tapia, S.
Keywords: high
level activities
video scene understanding
human behaviour recognition
video
surveillance
multi
sensory surveillance
ontology
based recognition
metadata.dc.date.available: 2013-04-23
2017-06-16T22:03:07Z
Publisher: International Journal of Systems Science
Abstract: Automatic 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.
metadata.dc.identifier.other: http://dx.doi.org/10.1080/00207721.2013.801095
URI: http://dspace.utpl.edu.ec/handle/123456789/19197
ISBN: 1464-5319
Other Identifiers: http://dx.doi.org/10.1080/00207721.2013.801095
Other Identifiers: http://dx.doi.org/10.1080/00207721.2013.801095
metadata.dc.language: Inglés
metadata.dc.type: Article
Appears in Collections:Artículos de revistas Científicas

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