A Low-Dimensional Radial Silhouette-Based Feature for Fast Human Action Recognition Fusing Multiple Views

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dc.contributorInformática Industrial y Redes de Computadoreses
dc.contributorDomótica y Ambientes Inteligenteses
dc.contributor.authorChaaraoui, Alexandros Andre-
dc.contributor.authorFlórez-Revuelta, Francisco-
dc.contributor.otherUniversidad de Alicante. Departamento de Tecnología Informática y Computaciónes
dc.date.accessioned2015-06-12T07:26:36Z-
dc.date.available2015-06-12T07:26:36Z-
dc.date.issued2014-10-29-
dc.identifier.citationInternational Scholarly Research Notices. Volume 2014 (2014), Article ID 547069, 11 pages. doi:10.1155/2014/547069es
dc.identifier.issn2356-7872-
dc.identifier.urihttp://hdl.handle.net/10045/47493-
dc.description.abstractThis paper presents a novel silhouette-based feature for vision-based human action recognition, which relies on the contour of the silhouette and a radial scheme. Its low-dimensionality and ease of extraction result in an outstanding proficiency for real-time scenarios. This feature is used in a learning algorithm that by means of model fusion of multiple camera streams builds a bag of key poses, which serves as a dictionary of known poses and allows converting the training sequences into sequences of key poses. These are used in order to perform action recognition by means of a sequence matching algorithm. Experimentation on three different datasets returns high and stable recognition rates. To the best of our knowledge, this paper presents the highest results so far on the MuHAVi-MAS dataset. Real-time suitability is given, since the method easily performs above video frequency. Therefore, the related requirements that applications as ambient-assisted living services impose are successfully fulfilled.es
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Science and Innovation under Project “Sistema de visión para la monitorización de la actividad de la vida diaria en el hogar” (TIN2010-20510-C04-02) and by the European Commission under Project “caring4U—A study on people activity in private spaces: towards a multisensor network that meets privacy requirements” (PIEF-GA-2010-274649). Alexandros Andre Chaaraoui acknowledges financial support by the Conselleria d’Educació, Formació i Ocupació of the Generalitat Valenciana (Fellowship ACIF/2011/160).es
dc.languageenges
dc.publisherHindawi Publishing Corporationes
dc.rights© 2014 Alexandros Andre Chaaraoui and Francisco Flórez-Revuelta. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.es
dc.subjectSilhouette-based featurees
dc.subjectVision-based human action recognitiones
dc.subjectRadial schemees
dc.subject.otherArquitectura y Tecnología de Computadoreses
dc.titleA Low-Dimensional Radial Silhouette-Based Feature for Fast Human Action Recognition Fusing Multiple Viewses
dc.typeinfo:eu-repo/semantics/articlees
dc.peerreviewedsies
dc.identifier.doi10.1155/2014/547069-
dc.relation.publisherversionhttp://dx.doi.org/10.1155/2014/547069es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN//TIN2010-20510-C04-02-
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