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dc.contributor.author | Rius, Ignasi | - |
dc.contributor.author | Gonzàlez, Jordi | - |
dc.contributor.author | Mozerov, Mikhail | - |
dc.contributor.author | Roca, F. Xavier | - |
dc.date.accessioned | 2009-05-04T13:09:46Z | - |
dc.date.available | 2009-05-04T13:09:46Z | - |
dc.date.issued | 2008-01 | - |
dc.identifier.citation | International Journal for Computational Vision and Biomechanics 1(1): 33-43 (2008) | en_US |
dc.identifier.issn | 0973-6778 | - |
dc.identifier.uri | http://hdl.handle.net/10261/12765 | - |
dc.description | 11 pages, 5 figures, 3 tables. | en_US |
dc.description.abstract | This paper proposes an action specific model which automatically learns the variability of 3D human postures observed in a set of training sequences. First, a Dynamic Programing synchronization algorithm is presented in order to establish a mapping between postures from different walking cycles, so the whole training set can be synchronized to a common time pattern. Then, the model is trained using the public CMU motion capture dataset for the walking action, and a mean walking performance is automatically learnt. Additionally statistics about the observed variability of the postures and motion direction are also computed at each time step. As a result, in this work we have extended a similar action model successfully used for tracking, by providing facilities for gait analysis and gait recognition applications. | en_US |
dc.description.sponsorship | This work has been supported by EC grants IST-027110 for the HERMES project and IST-045547 for the VIDI-Video project, and by Spanish MEC under projects TIN2006-14606 and DPI-2004-5414. Jordi Gonzàlez also acknowledges the support of a Juan de la Cierva Postdoctoral fellowship from the Spanish MEC. The database used in this project was obtained from mocap.cs.cmu.edu which was created with funding from NSF EIA-0196217. | en_US |
dc.description.uri | http://hdl.handle.net/2117/2702 | - |
dc.format.extent | 498860 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | en_US |
dc.publisher | Serials Publications | en_US |
dc.relation.isversionof | Preprint | - |
dc.rights | openAccess | en_US |
dc.subject | Computer vision | en_US |
dc.subject | Human motion modelling | en_US |
dc.subject | Gair analysis and recognition | en_US |
dc.subject | Dynamic programming | en_US |
dc.title | Automatic learning of 3D pose variability in walking performances for gait analysis | en_US |
dc.type | artículo | en_US |
dc.description.peerreviewed | Peer reviewed | en_US |
dc.relation.publisherversion | http://paginas.fe.up.pt/~ijcvb/editions_v1_n1.htm | en_US |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.openairetype | artículo | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
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