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Image Processing to Detect and Classify Situations and States of Elderly People

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dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor.author Reig Bolaño, Ramon
dc.contributor.author Martí i Puig, Pere
dc.contributor.author Bajo, Javier
dc.contributor.author Rodríguez, Sara
dc.contributor.author De Paz, Juan F.
dc.contributor.author Rubio, Manuel P.
dc.date.accessioned 2012-12-12T13:59:06Z
dc.date.available 2012-12-12T13:59:06Z
dc.date.created 2011
dc.date.issued 2011
dc.identifier.citation Reig, Ramon...[et al.] " Image Processing to Detect and Classify Situations and States of Elderly People " A: Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 Advances in Intelligent and Soft Computing Volume 87, 2011, pp 163-172 ca_ES
dc.identifier.isbn 978-3-642-19643-0
dc.identifier.uri http://hdl.handle.net/10854/1953
dc.description.abstract Abstract. Monitoring and tracking of elderly people using vision algorithms is an strategy gaining relevance to detect anomalous and potentially dangerous situations and react immediately. In general vision algorithms for monitoring and tracking are very costly and take a lot of time to respond, which is highly inconvenient since many applications can require action to be taken in real time. A multi-agent system (MAS) can establish a social model to automate the tasks carried out by the human experts during the process of analyzing images obtained by cameras. This study presents a detector agent integrated in a MAS that can process stereoscopic images to detect and classify situations and states of elderly people in geriatric residences by combining a series of novel techniques. We will talk in details about the combination of techniques used to perform the detection process, subdivided into human detection, human tracking ,and human behavior understanding, and where there is a case-based reasoning (CBR) model that allows the system to add reasoning capabilities. ca_ES
dc.format application/pdf
dc.format.extent 10 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Springer ca_ES
dc.rights (c) Springer
dc.rights Tots els drets reservats ca_ES
dc.subject.other Imatges -- Processament ca_ES
dc.title Image Processing to Detect and Classify Situations and States of Elderly People ca_ES
dc.type info:eu-repo/semantics/conferenceObject ca_ES
dc.identifier.doi https://doi.org/10.1007/978-3-642-19644-7_55
dc.relation.publisherversion http://link.springer.com/
dc.rights.accesRights info:eu-repo/semantics/closedAccess ca_ES

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