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dc.contributorEscalera, Sergio
dc.contributor.authorReyes Estany, Miguel
dc.date.accessioned2011-10-11T10:35:38Z
dc.date.available2011-10-11T10:35:38Z
dc.date.issued2011-09-05
dc.identifier.urihttp://hdl.handle.net/2099.1/13109
dc.description.abstractEnglish: Robust human pose recovery and automatic behavior analysis has applications including gaming, human-computer interaction, security, telepresence, and health-care, just to mention a few. In this work, we present a generic framework for human posture analysis and gesture recognition using RGB-D representation. It encompasses the process we have undertaken to analyze human postural configurations reliability and robustness. The work ranges from the process of image acquisition, beginning in geometric models of image representation, in order to understand the power and the use of RGB-D spaces. Having described this technology, the main focus of this work is based on the location and description of human models which can represent and describe the human pose with high accuracy. We defined an accurate pose descriptor, and defined a generic framework for automatic multi-class behavior analysis. Several applications of the proposed methodology are also presented and discussed.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshRobotics
dc.subject.otherMulti-class behavior analysis
dc.subject.otherRGB-D
dc.titleHuman pose recovery and behavior analysis from RGB and depth maps
dc.typeMaster thesis
dc.subject.lemacRobòtica
dc.rights.accessOpen Access
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain