Dimensional Expansion and Time-Series Data Augmentation Policy for Skeleton-Based Pose Estimation

Human pose estimation has long been researched as a significant topic in computer vision. However, studies via deep learning models are insufficient because of the lack of 2D and 3D skeleton data in various domains. An augmentation technique is applied to solve the problem of data scarcity. Data aug...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Sung-Soo Park, Hye-Jeong Kwon, Ji-Won Baek, Kyungyong Chung
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Subjects:	Data augmentation policy dimensional expansion pose estimation skeleton data
Online Access:	https://ieeexplore.ieee.org/document/9919179/