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The AVA Multi-View Dataset for Gait Recognition
dc.contributor.author | López-Fernández, D. | |
dc.contributor.author | Madrid-Cuevas, F.J. | |
dc.contributor.author | Marín-Jiménez, M.J. | |
dc.contributor.author | Muñoz-Salinas, Rafael | |
dc.contributor.author | Carmona Poyato, Ángel | |
dc.date.accessioned | 2018-10-16T11:33:20Z | |
dc.date.available | 2018-10-16T11:33:20Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://hdl.handle.net/10396/17294 | |
dc.description.abstract | In this paper, we introduce a new multi-view dataset for gait recognition. The dataset was recorded in an indoor scenario, using six convergent cameras setup to produce multi-view videos, where each video depicts a walking human. Each sequence contains at least 3 complete gait cycles. The dataset contains videos of 20 walking persons with a large variety of body size, who walk along straight and curved paths. The multi-view videos have been processed to produce foreground silhouettes. To validate our dataset, we have extended some appearance-based 2D gait recognition methods to work with 3D data, obtaining very encouraging results. The dataset, as well as camera calibration information, is freely available for research purposes | es_ES |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.subject | Multi-view dataset | es_ES |
dc.subject | Gait recognition | es_ES |
dc.title | The AVA Multi-View Dataset for Gait Recognition | es_ES |
dc.type | info:eu-repo/semantics/preprint | es_ES |
dc.relation.projectID | Gobierno de España. TIN2012-32952 (BROCA) | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |