Efficient Person Reidentification for IoT-Assisted Cyber–Physical Systems-Reference-Cited by-同舟云学术

Efficient Person Reidentification for IoT-Assisted Cyber–Physical Systems

Published:2023-11-01 Issue:21 Volume:10 Page:18695-18707
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Khan Samee Ullah¹^ORCID,Haq Ijaz Ul²^ORCID,Khan Noman¹^ORCID,Ullah Amin³^ORCID,Muhammad Khan⁴^ORCID,Chen Huiling⁵^ORCID,Baik Sung Wook¹^ORCID,de Albuquerque Victor Hugo C.⁶^ORCID

Affiliation:

1. Sejong University, Seoul, South Korea

2. Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA

3. CORIS Institute, Oregon State University, Corvallis, OR, USA

4. Department of Applied Artificial Intelligence, School of Convergence, College of Computing and Informatics, Visual Analytics for Knowledge Laboratory, Sungkyunkwan University, Seoul, Republic of Korea

5. Key Laboratory of Intelligent Informatics for Safety & Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China

6. Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil

Funder

National Research Foundation of Korea

Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10288305/10076260.pdf?arnumber=10076260

Reference47 articles.

1. A Siamese Long Short-Term Memory Architecture for Human Re-identification

2. SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification

3. Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification

4. Adaptive Transfer Network for Cross-Domain Person Re-Identification

5. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification

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