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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 |
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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. |
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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 |
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Rights:
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Document type:
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Research/Master Thesis |
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Published by:
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Universitat Politècnica de Catalunya
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