Results 11 to 20 of about 1,195,101 (308)
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
doaj +2 more sources
Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification [PDF]
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +3 more sources
Person Re-identification with Correspondence Structure Learning [PDF]
, 2015 This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-
Yang Shen +5 more
openalex +4 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source