Results 31 to 40 of about 2,995,343 (301)

Feature Fusion and Center Aggregation for Visible-Infrared Person Re-Identification

IEEE Access, 2022
The visible-infrared pedestrian re- identification (VI Re-ID) task aims to match cross-modality pedestrian images with the same labels. Most current methods focus on mitigating the modality discrepancy by adopting a two-stream network and identity ...
Xianju Wang, Cuiqun Chen, Yong Zhu, Shuguang Chen   +3 more
doaj   +1 more source

Features of Person

, 2018
A proposal that person features do not have inherent content but are used to navigate a “person space” at the heart of every pronominal expression. This book offers a significant reconceptualization of the person system in natural language.
Ackema, P, Neeleman, A
openaire   +2 more sources

Queering whole person care in a pandemic [PDF]

, 2022
How can health care providers (HCPs) working with 2SLGBTQ+ patients enact a whole person care approach during the SARS-CoV-2 pandemic and its aftermath, and in such desperate times, is it even reasonable to expect them to?
Shulman, Jane, Wright, David Kenneth
core   +1 more source

Person Re-Identification Method Based on Dual Descriptor Feature Enhancement

Entropy, 2023
Person re-identification is a technology used to identify individuals across different cameras. Existing methods involve extracting features from an input image and using a single feature for matching.
Ronghui Lin, Rong Wang, Wenjing Zhang, Ao Wu, Yang Sun, Yihan Bi   +5 more
doaj   +1 more source

Cross-Camera Erased Feature Learning for Unsupervised Person Re-Identification

Algorithms, 2020
Most supervised person re-identification methods show their excellent performance, but using labeled datasets is very expensive, which limits its application in practical scenarios.
Shaojun Wu, Ling Gao
doaj   +1 more source

A Person Re-Identification Method Based on Multi-Branch Feature Fusion

Applied Sciences, 2023
Due to the lack of a specific design for scenarios such as scale change, illumination difference, and occlusion, current person re-identification methods are difficult to put into practice.
Xuefang Wang, Xintong Hu, Peishun Liu, Ruichun Tang   +3 more
doaj   +1 more source

Global and Local Oriented Gabor Texture Histogram for Person Re-identification [PDF]

Brazilian Archives of Biology and Technology, 2019
: Automated person re-identification is a key process in global distributed camera systems. This paper proposes a new feature, the Global and Local-Oriented Gabor Texture Histogram (GLOGTH), for person re-identification.
Elango Poongothai, Andavar Suruliandi
doaj   +1 more source

Feature interaction: a critical review and considered forecast [PDF]

, 2003
The state of the art of the field of feature interactions in telecommunications services is reviewed, concentrating on three major research trends: software engineering approaches, formal methods, and on line techniques.
Magill, Evan, Reiff-Marganiec, Stephan, Stephan Reiff-marganiec A, Calder, M., Stephan Reiff-Marganiec (753997), Magill, E.H., Evan H. Magill B, Calder, Muffy, Evan H. Magill, Reiff-Marganiec, S., Evan H. Magill (7588937), Mario Kolberg, Kolberg, Mario, Muffy Calder (7588931), Kolberg, M., Muffy Calder, Stephan Reiff-Marganiec, Mario Kolberg (7588934)   +17 more
core   +1 more source

Multi-Level Feature Network With Multi-Loss for Person Re-Identification

IEEE Access, 2019
Person re-identification has become a challenging task due to various factors. One key to effective person re-identification is the extraction of the discriminative features of a person's appearance.
Huiyan Wu, Ming Xin, Wen Fang, Hai-Miao Hu, Zihao Hu   +4 more
doaj   +1 more source

Ensemble Learning-Based Person Re-identification with Multiple Feature Representations

Complexity, 2018
As an important application in video surveillance, person reidentification enables automatic tracking of a pedestrian through different disjointed camera views.
Yun Yang, Xiaofang Liu, Qiongwei Ye, Dapeng Tao   +3 more
doaj   +1 more source