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dc.contributorEscuela de Ingenierias Industrial, Informática y Aeroespaciales_ES
dc.contributor.authorBarrera González, Pablo
dc.contributor.authorCañas, José María
dc.contributor.authorMatellán Olivera, Vicente 
dc.contributor.authorMartín Rico, Francisco
dc.contributor.otherArquitectura y Tecnologia de Computadoreses_ES
dc.date2008-04-30
dc.date.accessioned2012-10-17T12:12:51Z
dc.date.available2012-10-17T12:12:51Z
dc.date.issued2012-10-17
dc.identifier.citationInternational Conference on Multimedia, Image processing and Computer Vision (IADAT-MICV 2005), 30 de abril, 2008, Madrides_ES
dc.identifier.isbn84-933971-5-6es_ES
dc.identifier.urihttp://hdl.handle.net/10612/1913
dc.description.abstractDetermining the 3D location of a moving object, and tracking it from a sequence of different camera images is a classical but still challenging problem. In our approach neither explicit triangulation, nor precise motion model are used; only the colour of the object to be tracked is required. We use a particle filter, where the observation model we have developed avoids the colour filtering of the entire image. Preliminary experiments are presented and lessons learned are commented. The approach easily scales to several cameras and new sensor cueses_ES
dc.languageenges_ES
dc.subjectInformáticaes_ES
dc.subject.other3Des_ES
dc.subject.otherMulti-cámarases_ES
dc.subject.otherRobóticaes_ES
dc.titleMulti-camera 3-D tracking using particle filteres_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.type.otherinfo:eu-repo/semantics/lecturees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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