Novel approach of human object posture detection for volleyball videos based on YOLO & high-resolution deep learning

Puntos clave

• Improved object posture detection accuracy in volleyball videos is essential for player performance.
• Achieved a 15% increase in detection accuracy over previous methods while processing high-resolution video.
• Utilizing YOLO with deep learning techniques, the approach analyzes player interactions during matches.
• This method highlights the need for advanced training tools that leverage video analysis for athletic development.