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多传感器融合技术在篮球运动目标轨迹定位中的应用

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为提高篮球运动轨迹跟踪定位精度,提出基于多传感器融合技术的篮球运动目标轨迹定位技术.采用多传感器融合跟踪方法实现对篮球运动目标轨迹图像采集,通过边值滤波器对图像进行降噪滤波处理,通过图像边缘轮廓特征检测和点跟踪识别,实现对篮球运动的点目标追踪和轨迹参数的自动获取,提取篮球多传感融合图像的特征量如边缘、形状、纹理等参数,通过多尺度变换的方法将这些特征按一定规则融合成轨迹纹理参数,结合显著性分析和稀疏表示实现篮球运动轨迹跟踪定位.仿真结果表明,采用该方法进行篮球运动轨迹定位的点跟踪识别能力较好,轨迹参数估计精度较高,投篮标准率为 94.098%.
Application of Multi-sensor Fusion Technology in Track Location of Basketball Target
In order to improve the accuracy of basketball trajectory tracking,a basketball trajectory positioning technology based on multi-sensor fusion technology was proposed.The multi-sensor fusion tracking method is adopted to realize the acquisition of the trajectory image of the basketball movement target.The noise reduction filtering is carried out on the image through the boundary value filter.The automatic acquisition of the basketball movement point target tracking and trajectory parameters is realized through the im-age edge contour feature detection and point tracking recognition.By means of multi-scale transformation,these features are fused in-to trajectory texture parameters according to certain rules,and the basketball trajectory tracking is realized by combining significance analysis and sparse representation.The simulation results show that the proposed method has good point tracking recognition ability,high accuracy of trajectory parameter estimation,and 94.098%shooting standard rate.

multi-sensor fusionbasketball sports goalstrajectory positioningpoint tracking identification

王鑫

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陕西警官职业学院警体部,西安 710021

多传感器融合 篮球运动目标 轨迹定位 点跟踪识别

陕西省体育局常规课题研究项目

2021145

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(4)
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