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dc.contributor.authorLópez Méndez, Adolfo
dc.contributor.authorCasas Pla, Josep Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2010-09-10T07:50:42Z
dc.date.available2010-09-10T07:50:42Z
dc.date.issued2009-10-09
dc.identifier.urihttp://hdl.handle.net/2117/8808
dc.description.abstractThis document presents the implemented algorithms for human motion analysis within ACTIBIO. According to the systems developed in WP3 two main branches of analysis have been defined: model-based and model-free analysis. Model-based analysis targets methods that employ high-level parameters obtained from a body model. These parameters are basically a set of joint angles and positions that are estimated via the articulated motion tracking algorithms proposed in activity A3.2. On the other hand, model-free analysis mainly investigates how to obtain view-invariant low-level features that could be used to boost known motion analysis techniques. The starting point for this approach is a set of foreground silhouettes obtained from several views. Methods for extracting silhouettes of humans in controlled environments have been studied and implemented in activity A3.1
dc.format.extent30 p.
dc.language.isoeng
dc.relation.ispartofseriesACTIBIO Deliverable 3.3
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshBiometric identification -- Computer programs
dc.titleHuman Motion Analysis Module
dc.typeExternal research report
dc.subject.lemacACTIBIO Project
dc.subject.lemacIdentificació biomètrica
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.subject.amsBiometric identification -- Computer programs
dc.relation.publisherversionhttp://www.actibio.eu
dc.rights.accessRestricted access - confidentiality agreement
local.identifier.drac2643010
dc.description.versionPreprint
local.personalitzacitaciotrue


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