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This research article presents a Sports Intelligent Assistance System that utilizes deep learning for behavior recognition and analysis through video processing, aiming to enhance traditional sports aid systems. The study investigates and improves target detection algorithms, specifically Faster R-CNN and YOLOv3, to address challenges in complex backgrounds and short action video durations. The proposed methods were validated through experiments, demonstrating favorable results in motion analysis for sports

Author

tribayunorito

Language

EN