排球发球技术路径视频图像正确性校正仿真  

Volleyball Service Path Video Image Correctness Correction Simulation

作　　者：赵阳[1] ZHAO Yang(Shannxi Institute of International Trade ＆ Commerce, Xianyang Shanxi 712046, China)

机构地区：[1]陕西国际商贸学院体育部,陕西咸阳712046

出　　处：《计算机仿真》2017年第11期240-243,共4页Computer Simulation

摘　　要：对排球发球技术路径视频图像的正确性校正,能够有效提高排球比赛中的得分率,提升比赛水平。对排球发球视频图像的校正,需要首先获取发球动作关节点的最优位置,给出合理性判断阈值,完成对发球技术路径视频图像的校正。传统方法先对发球动作窗口进行预测,确定下一帧窗口质心位置,但忽略了给出发球动作图像正确性判断阈值,导致校正精度偏低。提出基于改进逆向运动学的排球发球动作视频图像正确性校正方法。利用SLIC方法获取排球发球动作区域和背景区域的颜色特征,对候选区域进行超级像素分割,给出像素级的判别结果,对排球发球动作与背景信息进行统计分析,给出排球发球动作位置分布,对发球动作外观模型进行模板匹配,获取发球动作关节点的最优位置,给出排球发球动作图像正确性判断阈值,完成对排球发球动作视频图像正确性校正。仿真证明,所提方法校正精度较高。Traditional correctness correction method of video image of volleyball serve always neglects judgment threshold of image correctness, which leads to poor correction precision. In order to solve the problem, based on the modified inverse kinematics, a new correctness correction method is proposed in this article. SLIC method was used to acquire color feature of action area and background area of serve. Super pixel segmentation was carried out for candi- date region. Discriminant result of pixel level was provided. Statistical analysis was carried out for serve action and background information to provide location distribution of volleyball service action. Template matching was carried out for appearance model of serve action to acquire optimal position of joint point of the serve action. Correctness judg- ment threshold was provided. Thus, the correctness correction was completed. It is proved by simulation that the method has higher correction accuracy.

关 键 词：排球发球 技术路径 图像校正 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]