Results 1 to 10 of about 115,817 (310)

Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation

IEEE Access, 2018
Existing person re-identification (re-id) datasets only consist of pedestrian images, which are far more behind what the real surveillance system holds.
Yuan Yuan, Jian'an Zhang, Qi Wang
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, Peng Liu, Xiaofan Cao, Chunguang Liu   +3 more
doaj   +2 more sources

Person re-identification based on multi-branch visual transformer and self-distillation. [PDF]

Sci Prog
Chen W, Yin K, Wu Y, Hu Y.
europepmc   +3 more sources

Person Re-Identification Using Local Relation-Aware Graph Convolutional Network. [PDF]

Sensors (Basel), 2023
Lian Y, Huang W, Liu S, Guo P, Zhang Z, Durrani TS.   +5 more
europepmc   +3 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, Hongyun Zhang, Duoqian Miao, Witold Pedrycz   +3 more
doaj   +1 more source

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, Peng Liu, Yue Cui, Chunguang Liu, Wenli Duan   +4 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

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, Wei-yang HU, Jiang-yun LI, Yan LIU, Meng-xuan LI   +4 more
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, Saqib Mamoon, Ali Zakir, Muhammad Arslan Manzoor, Zhichao Lian   +4 more
doaj   +1 more source