Vision-Based Human Pose Estimation via Deep Learning: A Survey-Reference-Cited by-同舟云学术

Vision-Based Human Pose Estimation via Deep Learning: A Survey

Published:2023-02 Issue:1 Volume:53 Page:253-268
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Lan Gongjin¹^ORCID,Wu Yu¹,Hu Fei²^ORCID,Hao Qi¹

Affiliation:

1. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

2. Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL, USA

Funder

National Natural Science Foundation of China

Shenzhen Fundamental Research Program

Intel ICRI-IACV Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/10016745/09955393.pdf?arnumber=9955393

Reference153 articles.

1. RMPE: Regional Multi-person Pose Estimation

2. Deep Residual Learning for Image Recognition

3. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

4. CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark

5. Microsoft COCO: Common objects in context;lin;Proc Eur Conf Comput Vis,0

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