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dc.contributorAngulo Bahón, Cecilio
dc.contributor.authorTrejo Ramírez, Karla Andrea
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.description.abstractActive Appearance Models (AAMs) is a computer vision procedure for statistical matching of object shape and appearance between images. The present work will analyze how AAMs can be employed with RGB-Depth technology, so robots endowing a Kinect sensor can perceive and recognize humans more effectively in order to unequivocally identify them. This research is associated to the RoCKIn@Home challenge, an initiative from the European RoCKIn project focusing on domestic service robots.
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshComputer vision
dc.subject.lcshPattern recognition systems
dc.subject.lcshImage converters
dc.subject.otherActive Appearance Model
dc.subject.otherStatistical matching
dc.subject.otherPeople recognition
dc.subject.otherHuman–robot interaction
dc.subject.otherRoCKIn challenge
dc.titleActive Appearance Models for People Recognition with a RGB-D Sensor
dc.typeMaster thesis
dc.subject.lemacVisió per ordinador
dc.subject.lemacReconeixement de formes (Informàtica)
dc.subject.lemacImatges -- Convertidors
dc.rights.accessRestricted access - author's decision
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria Industrial de Barcelona

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