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Lie algebra-based kinematic prior for 3D human pose tracking
dc.contributor.author | Simó Serra, Edgar |
dc.contributor.author | Torras, Carme |
dc.contributor.author | Moreno-Noguer, Francesc |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.date.accessioned | 2016-05-02T17:55:01Z |
dc.date.available | 2016-05-02T17:55:01Z |
dc.date.issued | 2015 |
dc.identifier.citation | Simo, E., Torras, C., Moreno-Noguer, F. Lie algebra-based kinematic prior for 3D human pose tracking. A: IAPR International Conference on Machine Vision Applications. "Proceedings of the 14th IAPR International Conference on Machine Vision Applications". Tokyo: 2015, p. 394-397. |
dc.identifier.uri | http://hdl.handle.net/2117/86504 |
dc.description.abstract | We propose a novel kinematic prior for 3D human pose tracking that allows predicting the position in subsequent frames given the current position. We first define a Riemannian manifold that models the pose and extend it with its Lie algebra to also be able to represent the kinematics. We then learn a joint Gaussian mixture model of both the human pose and the kinematics on this manifold. Finally by conditioning the kinematics on the pose we are able to obtain a distribution of poses for subsequent frames that which can be used as a reliable prior in 3D human pose tracking. Our model scales well to large amounts of data and can be sampled at over 100,000 samples/second. We show it outperforms the widely used Gaussian diffusion model on the challenging Human3.6M dataset. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.other | computer vision |
dc.subject.other | Lie algebra |
dc.subject.other | 3D human pose tracking |
dc.subject.other | mixture models |
dc.title | Lie algebra-based kinematic prior for 3D human pose tracking |
dc.type | Conference report |
dc.contributor.group | Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI |
dc.identifier.doi | 10.1109/MVA.2015.7153212 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Pattern recognition::Computer vision |
dc.relation.publisherversion | http://www.mva-org.jp/Proceedings/2015USB/papers/11-03.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 17420232 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Simo, E.; Torras, C.; Moreno-Noguer, F. |
local.citation.contributor | IAPR International Conference on Machine Vision Applications |
local.citation.pubplace | Tokyo |
local.citation.publicationName | Proceedings of the 14th IAPR International Conference on Machine Vision Applications |
local.citation.startingPage | 394 |
local.citation.endingPage | 397 |