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Real-time fingertip localization conditioned on hand gesture classification
dc.contributor.author | Suau, Xavier |
dc.contributor.author | Alcoverro Vidal, Marcel |
dc.contributor.author | López-Méndez, Adolfo |
dc.contributor.author | Ruiz Hidalgo, Javier |
dc.contributor.author | Casas Pla, Josep Ramon |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2014-06-13T13:33:42Z |
dc.date.created | 2014-05-09 |
dc.date.issued | 2014-05-09 |
dc.identifier.citation | Suau, X. [et al.]. Real-time fingertip localization conditioned on hand gesture classification. "Image and vision computing", 09 Maig 2014, vol. 32, núm. 8, p. 522-532. |
dc.identifier.issn | 0262-8856 |
dc.identifier.uri | http://hdl.handle.net/2117/23220 |
dc.description.abstract | A method to obtain accurate hand gesture classification and fingertip localization from depth images is proposed. The Oriented Radial Distribution feature is utilized, exploiting its ability to globally describe hand poses, but also to locally detect fingertip positions. Hence, hand gesture and fingertip locations are characterized with a single feature calculation. We propose to divide the difficult problem of locating fingertips into two more tractable problems, by taking advantage of hand gesture as an auxiliary variable. Along with the method we present the ColorTip dataset, a dataset for hand gesture recognition and fingertip classification using depth data. ColorTip contains sequences where actors wear a glove with with colored fingertips, allowing automatic annotation. The proposed method is evaluated against recent works in several datasets, achieving promising results in both gesture classification and fingertip localization. |
dc.format.extent | 11 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Interacció home-màquina |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject.lcsh | Signal processing |
dc.subject.lcsh | Electromyography |
dc.subject.other | Dataset |
dc.subject.other | Fingertip classification |
dc.subject.other | Hand gesture recognition |
dc.subject.other | Interactivity |
dc.subject.other | Range camera |
dc.title | Real-time fingertip localization conditioned on hand gesture classification |
dc.type | Article |
dc.subject.lemac | Senyal, Teoria del (Telecomunicació) |
dc.subject.lemac | Interacció persona-ordinador |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1016/j.imavis.2014.04.015 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0262885614000845 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 14935874 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Suau, X.; Alcoverro, M.; López-Méndez, A.; Ruiz, J.; Casas, J. |
local.citation.publicationName | Image and vision computing |
local.citation.volume | 32 |
local.citation.number | 8 |
local.citation.startingPage | 522 |
local.citation.endingPage | 532 |
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