A novel person re-identification network to address low-resolution problem in smart city context

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 conve...

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Main Authors: Irfan Yaqoob, Muhammad Umair Hassan, Dongmei Niu, Xiuyang Zhao, Ibrahim A. Hameed, Saeed-Ul Hassan
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959522001072
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author Irfan Yaqoob
Muhammad Umair Hassan
Dongmei Niu
Xiuyang Zhao
Ibrahim A. Hameed
Saeed-Ul Hassan
author_facet Irfan Yaqoob
Muhammad Umair Hassan
Dongmei Niu
Xiuyang Zhao
Ibrahim A. Hameed
Saeed-Ul Hassan
author_sort Irfan Yaqoob
collection DOAJ
description 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.
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spelling doaj.art-84b5e6ccd8834009bab54ee5b6461c942023-10-21T04:22:56ZengElsevierICT Express2405-95952023-10-0195809814A novel person re-identification network to address low-resolution problem in smart city contextIrfan Yaqoob0Muhammad Umair Hassan1Dongmei Niu2Xiuyang Zhao3Ibrahim A. Hameed4Saeed-Ul Hassan5School of Information Science and Engineering, University of Jinan, Jinan, ChinaDepartment of ICT and Natural Sciences, Norwegian University of Science and Technology, Å lesund, Norway; Corresponding author.School of Information Science and Engineering, University of Jinan, Jinan, ChinaSchool of Information Science and Engineering, University of Jinan, Jinan, ChinaDepartment of ICT and Natural Sciences, Norwegian University of Science and Technology, Å lesund, NorwayDepartment of Computing and Mathematics, Manchester Metropolitan University, Manchester, United KingdomWe 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.http://www.sciencedirect.com/science/article/pii/S2405959522001072Person re-identificationHigh resolutionSmart citiesDeep learning
spellingShingle Irfan Yaqoob
Muhammad Umair Hassan
Dongmei Niu
Xiuyang Zhao
Ibrahim A. Hameed
Saeed-Ul Hassan
A novel person re-identification network to address low-resolution problem in smart city context
ICT Express
Person re-identification
High resolution
Smart cities
Deep learning
title A novel person re-identification network to address low-resolution problem in smart city context
title_full A novel person re-identification network to address low-resolution problem in smart city context
title_fullStr A novel person re-identification network to address low-resolution problem in smart city context
title_full_unstemmed A novel person re-identification network to address low-resolution problem in smart city context
title_short A novel person re-identification network to address low-resolution problem in smart city context
title_sort novel person re identification network to address low resolution problem in smart city context
topic Person re-identification
High resolution
Smart cities
Deep learning
url http://www.sciencedirect.com/science/article/pii/S2405959522001072
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