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Review of person re‐identification techniques
IET Computer Vision, 2014 Person re‐identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance.
Mohammad Ali Saghafi +3 more
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Dynamic Weighting Network for Person Re-Identification [PDF]
Sensors, 2023 Recently, hybrid Convolution-Transformer architectures have become popular due to their ability to capture both local and global image features and the advantage of lower computational cost over pure Transformer models.
Guang Li +3 more
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Multi‐granularity re‐ranking for visible‐infrared person re‐identification
CAAI Transactions on Intelligence Technology, 2023 Visible‐infrared person re‐identification (VI‐ReID) is a supplementary task of single‐modality re‐identification, which makes up for the defect of conventional re‐identification under insufficient illumination. It is more challenging than single‐modality
Yadi Wang +3 more
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Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification
Sensors, 2022 Person re-identification is essential to intelligent video analytics, whose results affect downstream tasks such as behavior and event analysis. However, most existing models only consider the accuracy, rather than the computational complexity, which is ...
Yalei Zhou +4 more
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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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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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A survey of person re-identification based on deep learning
工程科学学报, 2022 Person re-identification is an important part of multi-target tracking across cameras; its aim is to identify the same person across different cameras. Given a query image, the purpose of person re-identification is to find the best match for the query ...
Qing LI +4 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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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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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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