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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10887197/ |
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