BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.contributor.author	Hernandez Vela, Antonio
dc.contributor.author	Bautista, Miguel Angel
dc.contributor.author	Perez-Sala, Xavier
dc.contributor.author	Ponce, Víctor
dc.contributor.author	Baró, Xavier
dc.contributor.author	Pujol, Oriol
dc.contributor.author	Angulo Bahón, Cecilio
dc.contributor.author	Escalera, Sergio
dc.date	2012
dc.identifier.citation	Hernandez-Vela, A. [et al.]. BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition. A: International Conference on Pattern Recognition. "Proceedings of the 21st International Conference on Pattern Recognition". Tsukuba Science City: 2012, p. 449-452.
dc.identifier.citation	978-1-4673-2216-4
dc.identifier.uri	http://hdl.handle.net/2117/19376
dc.language.iso	eng
dc.relation	http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6460168
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subject	Àrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject	Gesture studies
dc.subject	Pattern recognition systems
dc.subject	Human activity recognition
dc.subject	Computer vision
dc.subject	BoVDW model
dc.subject	BoVW model
dc.subject	DTW algorithm
dc.subject	RGB features
dc.subject	bag-of-visual-and-depth-words
dc.subject	bag-of-visual-words model
dc.subject	continuous gesture recognition pipeline
dc.subject	depth descriptor
dc.subject	depth features
dc.subject	dynamic time warping algorithm
dc.subject	late fusion fashion
dc.subject	multimodal fusion
dc.subject	visual features
dc.subject	Visió artificial (Robòtica)
dc.subject	Reconeixement de formes (Informàtica)
dc.subject	Imatges -- Processament -- Tècniques digitals
dc.title	BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	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.
dc.description.abstract	Peer Reviewed

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