Sports Motion Trajectory Extraction Network Based on TCN-STA-GRU

Key Points

• The aim is to develop a network for extracting sports motion trajectories using advanced algorithms.
• Utilized TCN (Temporal Convolutional Network), STA (Spatial-Temporal Attention), and GRU (Gated Recurrent Unit) architectures for data processing.
• Applied the method to sports motion data to enhance trajectory extraction accuracy.
• Achieved improved precision in motion trajectory extraction compared to traditional methods.
• Demonstrated significant reductions in error rates, indicating better performance analysis capabilities.