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Unsupervised Tracklet Person Re-Identification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Accepted to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence.
Minxian Li, Xiatian Zhu, Shaogang Gong
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Attribute‐guided transformer for robust person re‐identification
IET Computer Vision, 2023 Recent studies reveal the crucial role of local features in learning robust and discriminative representations for person re‐identification (Re‐ID).
Zhe Wang, Jun Wang, Junliang Xing
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, 2021 Abstract— Person re-identification could be essential operation for any multi-camera observation situation. Until presently, it has been performed by misusing fundamentally appearance prompts, hypothesizing that the people cannot alter their clothes.
Md. Mojibur Rahman, Md. Ariful Islam
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Biometrics and the metaphysics of personal identity
IET Biometrics, 2023 The vast advances in biometrics over the past several decades have brought with them a host of pressing concerns. Philosophical scrutiny has already been devoted to many of the relevant ethical and political issues, especially ones arising from matters ...
Amy Kind
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, 2022 Person Re-Identification (Re-ID) is an important problem in computer vision-based surveillance applications, in which one aims to identify a person across different surveillance photographs taken from different cameras having varying orientations and field of views.
Chasmai, Mustafa Ebrahim +1 more
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Person Re-Identification by Saliency Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Human eyes can recognize person identities based on small salient regions, i.e. human saliency is distinctive and reliable in pedestrian matching across disjoint camera views. However, such valuable information is often hidden when computing similarities of pedestrian images with existing approaches.
Rui Zhao, Wanli Oyang, Xiaogang Wang
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Illumination-Adaptive Person Re-Identification [PDF]
IEEE Transactions on Multimedia, 2020 Accepted by ...
Zelong Zeng +5 more
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Multi Scale-Adaptive Super-Resolution Person Re-Identification Using GAN
IEEE Access, 2020 In real-world surveillance systems, the person images captured by the camera network consists of various low-resolution (LR) images. It creates a resolution mismatching problem when compared against high-resolution images of a targeted person.
Muhammad Adil +4 more
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Deep-Facial Feature-Based Person Re-identification for Authentication in Surveillance Applications [PDF]
ITM Web of Conferences, 2021 Nowadays, a large network of cameras is predominantly used in public places which provide enormous video data. These data are monitored manually and may be utilized only when the need arises to ascertain the facts.
Borse Pranjal +3 more
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Cross‐modality person re‐identification using hybrid mutual learning
IET Computer Vision, 2023 Cross‐modality person re‐identification (Re‐ID) aims to retrieve a query identity from red, green, blue (RGB) images or infrared (IR) images. Many approaches have been proposed to reduce the distribution gap between RGB modality and IR modality. However,
Zhong Zhang +5 more
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