A three-dimensional human motion pose recognition algorithm based on graph convolutional networks-Reference-Cited by-同舟云学术

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A three-dimensional human motion pose recognition algorithm based on graph convolutional networks

Published:2024-06 Issue: Volume:146 Page:105009
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Sun Linfang,Li Ningning,Zhao Guangfeng,Wang Gang

Publisher

Elsevier BV

Reference30 articles.

1. Rich feature hierarchies for accurateobject detection and semantic segmentation;Girshick,2014

2. Fast r-cnn;Girshick,2015

3. Faster r-cnn: towards real-time object detection with region proposal networks;Ren;Adv. Neural Inf. Proces. Syst.,2015

4. Ssd: Single shot multibox detector;Liu,2016

5. You Only Look Once: Unified, Real-Time Object Detection;Redmon,2016

Cited by 2 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. Posture-Invariant Human Detection and Tracking for Outdoor Night-Time Surveillance;Circuits, Systems, and Signal Processing;2024-08-07

2. Human pose recognition based on computer vision;Proceedings of the 2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Education Digitalization and Computer Science;2024-07-26

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