Title:
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Collaborative voting of 3D features for robust gesture estimation
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Author:
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van Sabben Alsina, Daniel; Ruiz Hidalgo, Javier; Suau Cuadros, Xavier; Casas Pla, Josep Ramon
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
Abstract:
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Abstract:
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Human body analysis raises special interest because it enables a wide range of interactive applications. In this paper we present a gesture estimator that discriminates body poses in depth images. A novel collaborative method is proposed to learn 3D features of the human body and, later, to estimate specific gestures. The collaborative estimation framework is inspired by decision forests, where each selected point (anchor point) contributes to the estimation by casting votes. The main idea is to detect a body part by accumulating the inference of other trained body parts. The collaborative voting encodes the global context of human pose, while 3D features represent local appearance. Body parts contributing to the detection are interpreted as a voting process. Experimental results for different 3D features prove the validity of the proposed algorithm. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic -Automatic speech recognition -Three-dimensional displays -Training -Collaboration -Histograms -Feature extraction -Biological system modeling -Estimation -Reconeixement automàtic de la parla |
Rights:
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Document type:
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Article - Submitted version Conference Object |
Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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