Efficient Real-Time Sports Action Pose Estimation via EfficientPose and Temporal Graph Convolution

Accurate and efficient human pose estimation is crucial for precise motion tracking and performance feedback in real-time sports analysis. This paper presents a real-time pose estimation framework that integrates EfficientPose and T-GCN (Temporal Graph Convolutional Networks) to address the challeng...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Yuanzhe Ma, Hui Li, Hongqiao Yan
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Real-time pose estimation EfficientPose T-GCN 3D pose estimation performance feedback
Online Access:	https://ieeexplore.ieee.org/document/10887197/