Abstract
Traditional badminton serve violation penalties rely on the subjective judgment of the referee and have significant human errors. To improve the automatic identification efficiency and accuracy of serving violations, research proposes a badminton serve violation detection system based on an adaptive enhancement algorithm. The system adopts an improved adaptive lifting algorithm for object detection and extracts key frames based on it. The system analyzes and extracts key features of the serving moment to determine whether the badminton serving is legal or illegal. The experiment outcomes reveal that the system can correctly recognize the state of serving time, and performs well in the recognition rate of compliant serving and unauthorized serving, especially under natural and artificial light conditions, with a recognition rate of over 95%. It shows excellent performance in target detection and serving compliance discrimination. The proposed badminton serve violation detection system has a high recognition rate and real-time detection capability, which can effectively meet the needs of refereeing in sports events. The study provides a new referee assistance tool that can help referees make accurate and scientifically based decisions in complex situations.
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