基于蜂群算法的排球正面扣球轨迹快速跟踪方法  

Fast Tracking Method of Volleyball Frontal Smash Trajectory Based on Bee Colony Algorithm

作　　者：刘文萍 李影[2] LIU Wenping;LI Ying(Basic Teaching Department,Anhui Vocational and Technical College,Hefei 230011,China;Department of Foundation,Anhui Auditing Vocational College,Fuyang Anhui 230601,China)

机构地区：[1]安徽职业技术学院基础教学部,安徽合肥230011 [2]安徽审计职业学院基础部,安徽阜阳236000

出　　处：《兰州工业学院学报》2022年第4期67-72,共6页Journal of Lanzhou Institute of Technology

基　　金：安徽省教育厅课题(KJ2021B002)。

摘　　要：为提升排球运动员的战术水平,提出基于蜂群算法的排球正面扣球轨迹快速跟踪方法。构建排球正面扣球图像信息采集模型,获取排球正面扣球彩色图像,将其转换为灰度图像后,采用直方图均衡法实现灰度图像增强处理;通过建立增强处理后正面扣球图像边缘轮廓检测模型,提取正面扣球动作发生时排球边缘轮廓信息,选择相邻帧图像,对排球边缘轮廓实施角点检测,采用人工蜂群算法优化排球运动轮廓角点,实现排球正面扣球轨迹快速跟踪。实验结果表明:该方法可完整采集正面扣球图像,直方图增强后正面扣球图像信噪比最高,提取排球边缘轮廓特征完整,排球正面扣球轨迹跟踪精度高。In order to improve the tactical level of volleyball players,a fast tracking method of volleyball Frontal Smash trajectory based on bee colony algorithm is proposed.The information acquisition model of volleyball Frontal Smash image is built to obtain the volleyball Frontal Smash color image,convert it into gray image,and use histogram equalization method to enhance the gray image.By establishing the edge contour detection model of the front SMASH image after enhancement processing,the volleyball edge contour information is extracted when the front smash action occurs,the adjacent frame images are selected,the corner points of the volleyball edge contour are detected,and the artificial bee colony algorithm is used to optimize the corner points of the volleyball contour,so as to realize the rapid tracking of the Volleyball Front smash trajectory.The experimental results show that this method can collect the front SMASH image completely.After histogram enhancement,the signal-to-noise ratio of the front SMASH image is the highest,the edge contour features of volleyball are extracted completely,and the tracking accuracy of Volleyball Front smash trajectory is high.

关 键 词：蜂群算法 正面扣球 轨迹快速跟踪 直方图均衡 角点检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]