Publicação
GRIDDS - a gait recognition image and depth dataset
| Resumo: | 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. |
|---|---|
| Autores principais: | Nunes, João |
| Outros Autores: | Moreira, Pedro Miguel; Tavares, João Manuel R. S. |
| Assunto: | Gait Dataset Person Recognition Gender Recognition RGB-D Sensors GRIDDS |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | capítulo de livro |
| Tipo de acesso: | acesso a metadados |
| Instituição associada: | Instituto Politécnico de Viana do Castelo |
| Idioma: | inglês |
| Origem: | Repositório Científico IPVC |
| _version_ | 1868891011030188032 |
|---|---|
| author | Nunes, João |
| author2 | Moreira, Pedro Miguel Tavares, João Manuel R. S. |
| author2_role | author author |
| author_facet | Nunes, João Moreira, Pedro Miguel Tavares, João Manuel R. S. |
| author_role | author |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Nunes, João\"},{\"Person.name\":\"Moreira, Pedro Miguel\"},{\"Person.name\":\"Tavares, João Manuel R. S.\"}] |
| datacite.creators.creator.creatorName.fl_str_mv | Nunes, João Moreira, Pedro Miguel Tavares, João Manuel R. S. |
| datacite.date.Accepted.fl_str_mv | 2019-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-01-06T18:40:24Z |
| datacite.date.embargoed.fl_str_mv | 2023-01-06T18:40:24Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_14cb |
| datacite.subjects.subject.fl_str_mv | Gait Dataset Person Recognition Gender Recognition RGB-D Sensors GRIDDS |
| datacite.titles.title.fl_str_mv | GRIDDS - a gait recognition image and depth dataset |
| dc.creator.none.fl_str_mv | Nunes, João Moreira, Pedro Miguel Tavares, João Manuel R. S. |
| dc.date.Accepted.fl_str_mv | 2019-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-01-06T18:40:24Z |
| dc.date.embargoed.fl_str_mv | 2023-01-06T18:40:24Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/20.500.11960/3099 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_14cb |
| dc.subject.none.fl_str_mv | Gait Dataset Person Recognition Gender Recognition RGB-D Sensors GRIDDS |
| dc.title.fl_str_mv | GRIDDS - a gait recognition image and depth dataset |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_3248 |
| description | 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. |
| dirty | 0 |
| eu_rights_str_mv | metadataOnlyAccess |
| format | bookPart |
| id | ripvc_a91dc8d75dfd06df09666f97c6bb3085 |
| identifier.url.fl_str_mv | http://hdl.handle.net/20.500.11960/3099 |
| instacron_str | ipvc |
| institution | Instituto Politécnico de Viana do Castelo |
| instname_str | Instituto Politécnico de Viana do Castelo |
| language | eng |
| network_acronym_str | ripvc |
| network_name_str | Repositório Científico IPVC |
| oai_identifier_str | oai:repositorio.ipvc.pt:20.500.11960/3099 |
| organization_str_mv | urn:organizationAcronym:ipvc |
| person_str_mv | Nunes, João Moreira, Pedro Miguel Tavares, João Manuel R. S. |
| publishDate | 2019 |
| reponame_str | Repositório Científico IPVC |
| repository_id_str | urn:repositoryAcronym:ripvc |
| service_str_mv | urn:repositoryAcronym:ripvc |
| spelling | pt_PTSeveral 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.application/pdfengpt_PTGRIDDS - a gait recognition image and depth datasetNunes, JoãoMoreira, Pedro MiguelTavares, João Manuel R. S.Handlehttp://hdl.handle.net/20.500.11960/3099ISBNIsPartOf978-3-030-32039-3ISBNIsPartOf978-3-030-32040-9ISSNIsPartOf2212-9413ISSNIsPartOf2212-9391DOIIsPartOf10.1007/978-3-030-32040-9_362023-01-06T18:40:24Z2019-01-01T00:00:00Z20192022-11-02T16:56:26Zhttp://purl.org/coar/access_right/c_14cbmetadata only accesspt_PTGait Datasetpt_PTPerson Recognitionpt_PTGender Recognitionpt_PTRGB-D Sensorspt_PTGRIDDS807606 byteshttp://purl.org/coar/access_right/c_14cbapplication/pdffulltexthttp://repositorio.ipvc.pt/bitstream/20.500.11960/3099/1/370707.pdfliteraturehttp://purl.org/coar/resource_type/c_3248book part |
| spellingShingle | GRIDDS - a gait recognition image and depth dataset Nunes, João Gait Dataset Person Recognition Gender Recognition RGB-D Sensors GRIDDS |
| status | SINGLETON |
| subject.fl_str_mv | Gait Dataset Person Recognition Gender Recognition RGB-D Sensors GRIDDS |
| title | GRIDDS - a gait recognition image and depth dataset |
| title_full | GRIDDS - a gait recognition image and depth dataset |
| title_fullStr | GRIDDS - a gait recognition image and depth dataset |
| title_full_unstemmed | GRIDDS - a gait recognition image and depth dataset |
| title_short | GRIDDS - a gait recognition image and depth dataset |
| title_sort | GRIDDS - a gait recognition image and depth dataset |
| topic | Gait Dataset Person Recognition Gender Recognition RGB-D Sensors GRIDDS |
| topic_facet | Gait Dataset Person Recognition Gender Recognition RGB-D Sensors GRIDDS |
| url | http://hdl.handle.net/20.500.11960/3099 |
| visible | 1 |