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Combined YOLOv5 and HRNet for High Accuracy 2D Keypoint and Human Pose Estimation Cover

Combined YOLOv5 and HRNet for High Accuracy 2D Keypoint and Human Pose Estimation

Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 4 (October 2022)
By: Hung-Cuong Nguyen,  Thi-Hao Nguyen,  Jakub Nowak,  Aleksander Byrski,  Agnieszka Siwocha and  Van-Hung Le  
Open Access
|Oct 2022
Authors

Authors

Hung-Cuong Nguyen

Faculty of Engineering Technology, Hung Vuong University, Vietnam

Thi-Hao Nguyen

Faculty of Engineering Technology, Hung Vuong University, Vietnam

Jakub Nowak

Czestochowa University of Technology, Czestochowa, Poland

Aleksander Byrski

AGH University of Science and Technology, Institute of Computer Science, Kraków, Poland

Agnieszka Siwocha

University of Social Sciences, Institute of Information Technologies, Łódź, Poland

Van-Hung Le

van-hung.le@mica.edu.vn

Tan Trao University, Vietnam
DOI: https://doi.org/10.2478/jaiscr-2022-0019
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Language: English
Page range: 281 - 298
Submitted on: Jun 15, 2022
Accepted on: Oct 18, 2022
Published on: Oct 29, 2022
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
YOLOv5,
HRNet,
2D key points estimation,
2D human pose estimation
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2022 Hung-Cuong Nguyen, Thi-Hao Nguyen, Jakub Nowak, Aleksander Byrski, Agnieszka Siwocha, Van-Hung Le, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 12 (2022): Issue 4 (October 2022)
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