A Hybrid Neural Network for Graph-Based Human Pose Estimation From 2D Images

A Hybrid Neural Network for Graph-Based Human Pose Estimation From 2D Images

This paper investigates the problem of human pose estimation (HPE) from single 2-dimensional (2D) still images using a convolutional neural network (CNN). The aim was to train the CNN to analyze a 2D input image of a person to determine the person's pose. The CNN output was given in the form of...

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Bibliographic Details
Main Authors: Huynh The Vu, Richardt H. Wilkinson, Margaret Lech, Eva Cheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
human pose estimation
graph structures
Online Access:https://ieeexplore.ieee.org/document/9035414/

Internet

https://ieeexplore.ieee.org/document/9035414/

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