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A novel person re-identification network to address low-resolution problem in smart city context
Yaqoob Irfan,Hassan Muhammad Umair,Niu Dongmei,Zhao Xiuyang,Hameed Ibrahim A.,Hassan Saeed-Ul 한국통신학회 2023 ICT Express Vol.9 No.5
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.