首页|羽毛球落点检测与统计系统的设计与实现

羽毛球落点检测与统计系统的设计与实现

扫码查看
提出一种基于YOLOv5目标检测模型的羽毛球落点检测与统计系统.该系统通过摄像机拍摄羽毛球运动视频或图片,运用YOLOv5目标检测模型对羽毛球进行识别和落点统计.实验验证了系统的有效性和准确性,应用该系统有助于提高羽毛球运动员的训练水平和竞技水平.
Design and Implementation of a Badminton Drop Point Detection and Statistics System
In this paper,a badminton drop point detection and statistics system based on YOLOv5 target detection model is proposed.The system shoots badminton sports videos or pictures by a video camera and utilizes the YOLOv5 target detection model for badminton ball recognition and drop point statistics.We introduce the design idea and realization method of the system in detail,and verify the effectiveness and accuracy of the system through experiments.The application of this system can im-prove the training level and competitive level of badminton players.

YOLOv5badmintontarget detectionconvolutional neural network

刘超凡、张巍

展开 >

淮阴师范学院计算机科学与技术学院,江苏淮安 223300

YOLOv5 羽毛球 目标检测 卷积神经网络

2024

淮阴师范学院学报(自然科学版)
淮阴师范学院

淮阴师范学院学报(自然科学版)

影响因子:0.259
ISSN:1671-6876
年,卷(期):2024.23(4)