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Título:
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BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition
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Autor/a:
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Hernandez Vela, Antonio; Bautista, Miguel Angel; Perez-Sala, Xavier; Ponce, Víctor; Baró, Xavier; Pujol, Oriol; Angulo Bahón, Cecilio; Escalera, Sergio
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
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Abstract:
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We present a Bag-of-Visual-and-Depth-Words
(BoVDW) model for gesture recognition, an extension
of the Bag-of-Visual-Words (BoVW) model, that benefits
from the multimodal fusion of visual and depth features.
State-of-the-art RGB and depth features, including
a new proposed depth descriptor, are analysed and
combined in a late fusion fashion. The method is
integrated in a continuous gesture recognition pipeline,
where Dynamic Time Warping (DTW) algorithm is
used to perform prior segmentation of gestures. Results
of the method in public data sets, within our gesture
recognition pipeline, show better performance in
comparison to a standard BoVW model. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
-Àrees temàtiques de la UPC::Informàtica::Robòtica
-Gesture studies
-Pattern recognition systems
-Human activity recognition
-Computer vision
-BoVDW model
-BoVW model
-DTW algorithm
-RGB features
-bag-of-visual-and-depth-words
-bag-of-visual-words model
-continuous gesture recognition pipeline
-depth descriptor
-depth features
-dynamic time warping algorithm
-late fusion fashion
-multimodal fusion
-visual features
-Visió artificial (Robòtica)
-Reconeixement de formes (Informàtica)
-Imatges -- Processament -- Tècniques digitals |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Objeto de conferencia |
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