Mostra el registre d'ítem simple
BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition
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.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2013-05-23T07:28:50Z |
dc.date.created | 2012 |
dc.date.issued | 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.isbn | 978-1-4673-2216-4 |
dc.identifier.uri | http://hdl.handle.net/2117/19376 |
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.format.extent | 4 p. |
dc.language.iso | eng |
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.lcsh | Gesture studies |
dc.subject.lcsh | Pattern recognition systems |
dc.subject.lcsh | Human activity recognition |
dc.subject.lcsh | Computer vision |
dc.subject.other | BoVDW model |
dc.subject.other | BoVW model |
dc.subject.other | DTW algorithm |
dc.subject.other | RGB features |
dc.subject.other | bag-of-visual-and-depth-words |
dc.subject.other | bag-of-visual-words model |
dc.subject.other | continuous gesture recognition pipeline |
dc.subject.other | depth descriptor |
dc.subject.other | depth features |
dc.subject.other | dynamic time warping algorithm |
dc.subject.other | late fusion fashion |
dc.subject.other | multimodal fusion |
dc.subject.other | visual features |
dc.title | BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition |
dc.type | Conference report |
dc.subject.lemac | Visió artificial (Robòtica) |
dc.subject.lemac | Reconeixement de formes (Informàtica) |
dc.subject.lemac | Imatges -- Processament -- Tècniques digitals |
dc.contributor.group | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6460168 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 12410971 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Hernandez-Vela, A.; Bautista, M.; Perez-Sala, X.; Ponce, V.; Baró, X.; Pujol, O.; Angulo, C.; Escalera, S. |
local.citation.contributor | International Conference on Pattern Recognition |
local.citation.pubplace | Tsukuba Science City |
local.citation.publicationName | Proceedings of the 21st International Conference on Pattern Recognition |
local.citation.startingPage | 449 |
local.citation.endingPage | 452 |