A DenseNet-OpenPose Framework for Static Biometric Recognition via Human Body Keypoints

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	IEEE 2025 the 13th International Conference on Information and Communication Networks (ICICN)
Publication status	Accepted/In press - 11 Aug 2025

AIOT-Empowered Smart Vehicle Research, Teaching and Learning Exploration
Hu, B. (PI), Zhang, W. (CoI), Huang, S. (Team member), Wang, J. (CoI), Jiang, H. (Team member), Tan, A. H. P. (Team member), Shen, Y. (Team member), Liu, Y. (Team member) & Huang, W. (Team member)
1/03/25 → 28/02/27
Project: Internal Research Project
Development and Commercial Potential of AI-Assisted Smart Wearable Devices
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1/01/25 → 31/12/26
Project: Internal Research Project
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Hu, B. (PI)
1/07/23 → 31/12/26
Project: Internal Research Project

Cite this

@inproceedings{d42924bd3f6a4970b8b202953eddd7e9,

title = "A DenseNet-OpenPose Framework for Static Biometric Recognition via Human Body Keypoints",

author = "Baixiang Xu and Wenzhang Zhang and Bintao Hu and Yuanrui Huang and Guangyu Ren and Hengyan Liu",

year = "2025",

month = aug,

day = "11",

language = "English",

booktitle = "IEEE 2025 the 13th International Conference on Information and Communication Networks (ICICN)",

}

TY - GEN

T1 - A DenseNet-OpenPose Framework for Static Biometric Recognition via Human Body Keypoints

AU - Xu, Baixiang

AU - Zhang, Wenzhang

AU - Hu, Bintao

AU - Huang, Yuanrui

AU - Ren, Guangyu

AU - Liu, Hengyan

PY - 2025/8/11

Y1 - 2025/8/11

M3 - Conference Proceeding

BT - IEEE 2025 the 13th International Conference on Information and Communication Networks (ICICN)

ER -