dc.contributor.author | Yaqoob, Irfan | |
dc.contributor.author | Hassan, Muhammad Umair | |
dc.contributor.author | Niu, Dongmei | |
dc.contributor.author | Zhao, Xiuyang | |
dc.contributor.author | Hameed, Ibrahim A. | |
dc.contributor.author | Hassan, Saeed-Ul | |
dc.date.accessioned | 2023-11-02T10:26:30Z | |
dc.date.available | 2023-11-02T10:26:30Z | |
dc.date.created | 2023-01-04T16:45:20Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://hdl.handle.net/11250/3100223 | |
dc.description.abstract | We argue that accurate person re-identification is a vital problem for urban public monitoring systems in the smart city context. Since images captured from different cameras have arbitrary resolutions resulting in resolution mismatch, this work proposes a model that takes arbitrary images and converts them to a pre-defined fixed resolution. The model then passes the images to a super-resolution network, producing high-resolution images. We employ a feedback network to generate more realistic super-resolution images, which are fed to the re-identification network to acquire a unique descriptor to disclose the person’s identity. We outperformed in all measures against other state-of-the-art methods. | en_US |
dc.description.abstract | A novel person re-identification network to address low-resolution problem in smart city context | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier B. V. | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | A novel person re-identification network to address low-resolution problem in smart city context | en_US |
dc.title.alternative | A novel person re-identification network to address low-resolution problem in smart city context | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 809-814 | en_US |
dc.source.volume | 9 | en_US |
dc.source.journal | ICT Express | en_US |
dc.source.issue | 5 | en_US |
dc.identifier.doi | 10.1016/j.icte.2022.07.010 | |
dc.identifier.cristin | 2100858 | |
dc.relation.project | Norges teknisk-naturvitenskapelige universitet: NTNU | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |