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Improving the Accuracy of Action Classification Using View-Dependent Context Information

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorCilla, Rodrigo
dc.contributor.authorPatricio Guisado, Miguel Ángel
dc.contributor.authorBerlanga de Jesús, Antonio
dc.contributor.authorMolina López, José Manuel
dc.date.accessioned2014-02-21T09:02:44Z
dc.date.available2014-02-21T09:02:44Z
dc.date.issued2011
dc.descriptionProceedings of: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011es
dc.description.abstractThis paper presents a human action recognition system that decomposes the task in two subtasks. First, a view-independent classifier, shared between the multiple views to analyze, is applied to obtain an initial guess of the posterior distribution of the performed action. Then, this posterior distribution is combined with view based knowledge to improve the action classification. This allows to reuse the view-independent component when a new view has to be analyzed, needing to only specify the view dependent knowledge. An example of the application of the system into an smart home domain is discussed.es
dc.description.sponsorshipThis work was supported in part by Projects CICYT TIN2008-06742-C02-02/ TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/ TIC-1485) and DPS2008-07029-C02-02.es
dc.description.statusPublicadoes
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationCorchado, E. et al. (eds.) (2011) Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II. (Lecture Notes in Computer Science, 6679). Springer, pp. 136- 143.es
dc.identifier.doi10.1007/978-3-642-21222-2_17
dc.identifier.isbn978-3-642-21222-2 (online)
dc.identifier.isbn978-3-642-21221-5 (print)
dc.identifier.issn0302-9743
dc.identifier.publicationfirstpage136
dc.identifier.publicationlastpage143
dc.identifier.publicationtitleHybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II
dc.identifier.urihttps://hdl.handle.net/10016/18332
dc.identifier.uxxiCC/0000017312
dc.language.isoenges
dc.publisherSpringeres
dc.relation.eventdate23-25 May, 2011es
dc.relation.eventnumber6es
dc.relation.eventplaceWroclaw (Poland)es
dc.relation.eventtitle6th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2011)es
dc.relation.ispartofseriesLecture Notes in Computer Sciencees
dc.relation.ispartofseries6679es
dc.relation.projectIDComunidad de Madrid. S2009/TIC-1485/CONTEXTSes
dc.rights© 2011 Springer-Verlag Berlin Heidelberges
dc.rights.accessRightsopen accesses
dc.subject.ecienciaInformáticaes
dc.subject.otherHuman Action Recognitionen
dc.titleImproving the Accuracy of Action Classification Using View-Dependent Context Informationes
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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