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Smart city article details

Title	A Novel Person Re-Identification Network To Address Low-Resolution Problem In Smart City Context
ID_Doc	3484
Authors	Yaqoob I.; Hassan M.U.; Niu D.; Zhao X.; Hameed I.A.; Hassan S.-U.
Year	2023
Published	ICT Express, 9, 5
DOI	http://dx.doi.org/10.1016/j.icte.2022.07.010
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. © 2022 The Author(s)
Author Keywords	Deep learning; High resolution; Person re-identification; Smart cities

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