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Model-based hand gesture tracking in ToF image sequences
dc.contributor.author | Gudmundsson, Sigurjon |
dc.contributor.author | Sveinsson, Johannes |
dc.contributor.author | Pardàs Feliu, Montse |
dc.contributor.author | Aanaes, Henrik |
dc.contributor.author | Larsen, Ramus |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2010-09-21T12:28:17Z |
dc.date.available | 2010-09-21T12:28:17Z |
dc.date.created | 2010-07 |
dc.date.issued | 2010-07 |
dc.identifier.citation | Gudmundsson, S. [et al.]. Model-based hand gesture tracking in ToF image sequences. "Lecture notes in computer science", Juliol 2010, vol. 6169/2010, p. 118-127. |
dc.identifier.issn | 0302-9743 |
dc.identifier.uri | http://hdl.handle.net/2117/9001 |
dc.description.abstract | This paper presents a Time-of-Flight (ToF) camera based system for hand motion and gesture tracking. A 27 degree of freedom (DOF) hand model is constructed and fleshed out by ellipsoids. This allows the synthesis of range images of the model through projective geometry. The hand pose is then tracked with a particle filter by statistically measuring the hypothetical pose against the ToF input image; where the inside/outside alignment of the hand pixels and the depth differences serve as classifying metrics. The high DOF tracking problem for the particle filter is addressed by reducing the high dimensionality of the joint angle space to a low dimensional space via Principal Component Analysis (PCA). The basis vectors are learned from a few basic model configurations and the transformations between these poses. This results in a system capable of practical hand tracking in a restricted gesture configuration space. |
dc.format.extent | 10 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::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject.lcsh | Image processing |
dc.subject.lcsh | Geometry, Projective |
dc.subject.lcsh | Kinematics |
dc.subject.lcsh | Principal component analysis program |
dc.subject.lcsh | Hand--Movements |
dc.title | Model-based hand gesture tracking in ToF image sequences |
dc.type | Article |
dc.subject.lemac | Imatges -- Processament |
dc.subject.lemac | Geometria projectiva |
dc.subject.lemac | Cinemàtica |
dc.subject.lemac | Anàlisi de components principals |
dc.subject.lemac | Mà -- Moviments |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1007/978-3-642-14061-7_12 |
dc.relation.publisherversion | http://www.springerlink.com/content/l1117675tv565twq/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 2642215 |
dc.description.version | Postprint (published version) |
local.citation.author | Gudmundsson, S.; Sveinsson, J.; Pardas, M.; Aanaes, H.; Larsen, R. |
local.citation.publicationName | Lecture notes in computer science |
local.citation.volume | 6169/2010 |
local.citation.startingPage | 118 |
local.citation.endingPage | 127 |
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