Title:
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Active Appearance Models for People Recognition with a RGB-D Sensor
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Author:
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Trejo Ramírez, Karla Andrea
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Angulo Bahón, Cecilio |
Abstract:
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Active 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. |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Robòtica -Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Computer vision -Pattern recognition systems -Robotics -Image converters -Active Appearance Model -Statistical matching -RGB-D -People recognition -Human–robot interaction -RoCKIn challenge -Kinect -Visió per ordinador -Reconeixement de formes (Informàtica) -Robòtica -Imatges -- Convertidors |
Rights:
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Document type:
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Research/Master Thesis |
Published by:
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Universitat Politècnica de Catalunya
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