Results 21 to 30 of about 1,288,582 (274)
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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Stochastic attentions and context learning for person re-identification [PDF]
PeerJ Computer Science, 2021 The discriminative parts of people’s appearance play a significant role in their re-identification across non overlapping camera views. However, just focusing on the discriminative or attention regions without catering the contextual information does not
Nazia Perwaiz +2 more
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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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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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Improving Person Re-Identification with Temporal Constraints [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022 In this paper we introduce an image-based person re-identification dataset collected across five non-overlapping camera views in the large and busy airport in Dublin, Ireland. Unlike all publicly available image-based datasets, our dataset contains timestamp information in addition to frame number, and camera and person IDs.
Dietlmeier, Julia +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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