Results 31 to 40 of about 278,178 (274)
Illumination-Adaptive Person Re-Identification [PDF]
IEEE Transactions on Multimedia, 2020 Accepted by ...
Zelong Zeng +5 more
openaire +3 more sources
Bag of Tricks and a Strong Baseline for Deep Person Re-Identification [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 This paper explores a simple and efficient baseline for person re-identification (ReID). Person re-identification (ReID) with deep neural networks has made progress and achieved high performance in recent years.
Hao Luo +4 more
semanticscholar +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
Re-ranking Person Re-identification with k-Reciprocal Encoding [PDF]
Computer Vision and Pattern Recognition, 2017 When considering person re-identification (re-ID) as a retrieval process, re-ranking is a critical step to improve its accuracy. Yet in the re-ID community, limited effort has been devoted to re-ranking, especially those fully automatic, unsupervised ...
Zhun Zhong +3 more
semanticscholar +1 more source
, 2022 Person Re-Identification (Re-ID) is an important problem in computer vision-based surveillance applications, in which one aims to identify a person across different surveillance photographs taken from different cameras having varying orientations and field of views.
Chasmai, Mustafa Ebrahim +1 more
openaire +2 more sources
Person Re-Identification by Saliency Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Human eyes can recognize person identities based on small salient regions, i.e. human saliency is distinctive and reliable in pedestrian matching across disjoint camera views. However, such valuable information is often hidden when computing similarities of pedestrian images with existing approaches.
Rui Zhao, Wanli Oyang, Xiaogang Wang
openaire +4 more sources
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
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
doaj +1 more source
Omni-Scale Feature Learning for Person Re-Identification [PDF]
IEEE International Conference on Computer Vision, 2019 As an instance-level recognition problem, person re-identification (ReID) relies on discriminative features, which not only capture different spatial scales but also encapsulate an arbitrary combination of multiple scales.
Kaiyang Zhou +3 more
semanticscholar +1 more source