Results 31 to 40 of about 167,485 (300)
Graph-based Person Signature for Person Re-Identifications [PDF]
The task of person re-identification (ReID) is to match images of the same person over multiple non-overlapping camera views. Due to the variations in visual factors, previous works have investigated how the person identity, body parts, and attributes benefit the person ReID problem.
Binh X. Nguyen +5 more
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Biometrics and the metaphysics of personal identity
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
Person Re-identification by Attributes [PDF]
Visually identifying a target individual reliably in a crowded environment observed by a distributed camera network is critical to a variety of tasks in managing business information, border control, and crime prevention. Automatic re-identification of a human candidate from public space CCTV video is challenging due to spatiotemporal visual feature ...
Ryan Layne +2 more
openaire +1 more source
Illumination-Adaptive Person Re-Identification [PDF]
Accepted by ...
Zelong Zeng +5 more
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Cross‐modality person re‐identification using hybrid mutual learning
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
A survey of person re-identification based on deep learning
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
doaj +1 more source
Deep-Facial Feature-Based Person Re-identification for Authentication in Surveillance Applications [PDF]
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
Multi Scale-Adaptive Super-Resolution Person Re-Identification Using GAN
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
Stochastic attentions and context learning for person re-identification [PDF]
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 +2 more sources
Denseformer: A dense transformer framework for person re‐identification
Transformer has shown its effectiveness and advantage in many computer vision tasks, for example, image classification and object re‐identification (ReID).
Haoyan Ma +3 more
doaj +1 more source

