Person re-identification based on deep learning — An overview-Reference-Cited by-同舟云学术

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Person re-identification based on deep learning — An overview

Published:2022-01 Issue: Volume:82 Page:103418
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Wei Wenyu^ORCID,Yang Wenzhong,Zuo Enguang,Qian Yunyun,Wang Lihua

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference168 articles.

1. Person re-identification: Past, present and future;Zheng,2016

2. Scalable person re-identification: A benchmark;Zheng,2015

3. Performance measures and a data set for multi-target, multi-camera tracking;Ristani,2016

4. N. Gheissari, T.B. Sebastian, R. Hartley, Person reidentification using spatiotemporal appearance, 2 (2006) 1528–1535.

5. Person re-identification by symmetry-driven accumulation of local features;Farenzena,2010

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1. A hybrid multilinear-linear subspace learning approach for enhanced person re-identification in camera networks;Expert Systems with Applications;2024-12

2. Adversarial attacks and defenses in person search: A systematic mapping study and taxonomy;Image and Vision Computing;2024-08

3. Integration of Tracking, Re-Identification, and Gesture Recognition for Facilitating Human–Robot Interaction;Sensors;2024-07-25

4. Patch-based tendency camera multi-constraint learning for unsupervised person re-identification;Journal of Visual Communication and Image Representation;2024-05

5. Progressive spatial–temporal transfer model for unsupervised person re-identification;International Journal of Multimedia Information Retrieval;2024-04-03

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