Analysis of Deep Learning Based Pose Estimation Techniques for Locating Landmarks on Human Body Parts-Reference-Cited by-同舟云学术

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Analysis of Deep Learning Based Pose Estimation Techniques for Locating Landmarks on Human Body Parts

Published:2021-12-23 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Circuits, Controls and Communications (CCUBE)
language:
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Author:

Gadhiya Ravindra¹,Kalani Nilesh²

Affiliation:

1. School of Engineering, RK University,Electronics and Communication Department,Rajkot,Gujarat,India

2. IQAC RK University,Rajkot,Gujarat,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9702710/9702711/09702726.pdf?arnumber=9702726

Reference10 articles.

1. Monocular human pose estimation: A survey of deep learning-based methods

2. Deep learning based 2D human pose estimation: A survey

3. DeepPose: Human Pose Estimation via Deep Neural Networks

4. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pose Estimation and Virtual Gym Assistant Using MediaPipe and Machine Learning;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01

2. Human Pose Estimation Based on Lightweight Multi-Scale Coordinate Attention;Applied Sciences;2023-03-11

3. Vision-Based Human Pose Estimation via Deep Learning: A Survey;IEEE Transactions on Human-Machine Systems;2023-02

4. Comparative Analysis of Skeleton-Based Human Pose Estimation;Future Internet;2022-12-15

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