Results 21 to 30 of about 1,298,251 (322)
Person Re-Identification via Attention Pyramid [PDF]
IEEE Transactions on Image Processing, 2021 In this paper, we propose an attention pyramid method for person re-identification. Unlike conventional attention-based methods which only learn a global attention map, our attention pyramid exploits the attention regions in a multi-scale manner because human attention varies with different scales.
Guangyi Chen +4 more
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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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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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Faster Person Re-identification [PDF]
, 2020 Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact binary codes and performs fast Hamming distance and counting sort. However, a very long code is needed for high accuracy (e.g. 2048), which compromises search speed.
Wang, G, Gong, S, Cheng, J, Hou, Z
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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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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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Attention driven person re-identification [PDF]
Pattern Recognition, 2019 Person re-identification (ReID) is a challenging task due to arbitrary human pose variations, background clutters, etc. It has been studied extensively in recent years, but the multifarious local and global features are still not fully exploited by either ignoring the interplay between whole-body images and body-part images or missing in-depth ...
Yang, Fan +5 more
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Person Re-Identification in Aerial Imagery [PDF]
IEEE Transactions on Multimedia, 2021 Nowadays, with the rapid development of consumer Unmanned Aerial Vehicles (UAVs), visual surveillance by utilizing the UAV platform has been very attractive. Most of the research works for UAV captured visual data are mainly focused on the tasks of object detection and tracking.
Shizhou Zhang +6 more
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