Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11960/3099
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Nunes, João | - |
dc.contributor.author | Moreira, Pedro Miguel | - |
dc.contributor.author | Tavares, João Manuel R. S. | - |
dc.date.accessioned | 2023-01-06T18:40:24Z | - |
dc.date.available | 2023-01-06T18:40:24Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Nunes, J. F., Moreira, P. M., & Tavares, J. M. R. S. (2019). GRIDDS - a gait recognition image and depth dataset. In J. M. R. S. Tavares, & R. M. N Jorge (Eds.), VipIMAGE 2019 Proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, October 16-18, 2019, Porto, Portugal, (pp. 343-352). https://doi.org/10.1007/978-3-030-32040-9_36 | pt_PT |
dc.identifier.isbn | 978-3-030-32039-3 | - |
dc.identifier.isbn | 978-3-030-32040-9 | - |
dc.identifier.issn | 2212-9413 | - |
dc.identifier.issn | 2212-9391 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11960/3099 | - |
dc.description.abstract | Several approaches based on human gait have been proposed in the literature, either for medical research reasons, smart surveillance, human-machine interaction, or other purposes, whose validation highly depends on the access to common input data through available datasets, enabling a coherent performance comparison. The advent of depth sensors leveraged the emergence of novel approaches and, consequently, the usage of new datasets. In this work we present the GRIDDS - A Gait Recognition Image and Depth Dataset, a new and publicly available gait depth-based dataset that can be used mostly for person and gender recognition purposes. | pt_PT |
dc.language.iso | eng | pt_PT |
dc.rights | closedAccess | pt_PT |
dc.subject | Gait Dataset | pt_PT |
dc.subject | Person Recognition | pt_PT |
dc.subject | Gender Recognition | pt_PT |
dc.subject | RGB-D Sensors | pt_PT |
dc.subject | GRIDDS | pt_PT |
dc.title | GRIDDS - a gait recognition image and depth dataset | pt_PT |
dc.type | bookPart | pt_PT |
dc.date.updated | 2022-11-02T16:56:26Z | - |
dc.description.version | 1419-E47A-DF81 | João Ferreira Nunes | - |
dc.description.version | N/A | - |
dc.identifier.slug | cv-prod-3069460 | - |
dc.peerreviewed | yes | pt_PT |
degois.publication.firstPage | 343 | pt_PT |
degois.publication.lastPage | 352 | pt_PT |
degois.publication.title | VipIMAGE 2019: Proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing | pt_PT |
degois.publication.location | Portugal | pt_PT |
dc.identifier.doi | 10.1007/978-3-030-32040-9_36 | - |
dc.identifier.eid | 2-s2.0-85073164623 | - |
Appears in Collections: | ESTG - Artigos indexados à WoS/Scopus |
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370707.pdf Restricted Access | 788.68 kB | Adobe PDF | View/Open Request a copy |
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