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BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition
Hernandez Vela, Antonio; Bautista, Miguel Angel; Perez-Sala, Xavier; Ponce, Víctor; Baró, Xavier; Pujol, Oriol; Angulo Bahón, Cecilio; Escalera, Sergio
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
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.
Peer Reviewed
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-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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