Pedestrian Re-Identification Algorithm Based on Attention Pooling Saliency Region Detection and Matching-Reference-Cited by-同舟云学术

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Pedestrian Re-Identification Algorithm Based on Attention Pooling Saliency Region Detection and Matching

Published:2024-02 Issue:1 Volume:11 Page:1149-1157
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

An Fengping¹^ORCID,Wang Jianrong²,Liu Ruijun³

Affiliation:

1. School of Physics and Electronic Electrical Engineering, Huaiyin Normal University, Huai’an, China

2. School of Mathematical Sciences, Shanxi University, Shanxi, Taiyuan, China

3. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

China Postdoctoral Science Foundation Funded Project

Future Network Scientific Research Fund Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/10414252/10038468.pdf?arnumber=10038468

Reference38 articles.

1. Key point-aware occlusion suppression and semantic alignment for occluded person re-identification

2. Pedestrian Re-identification Algorithm Based on Visual Attention-positive Sample Generation Network Deep Learning Model

3. Person re-identification: Past, present and future;Zheng;arXiv:1610.02984,2016

4. Keeping Track of Humans: Have I Seen This Person Before?

5. Person Reidentification Using Spatiotemporal Appearance

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