鹰眼系统运动目标特征参数精确提取算法

鹰眼系统在赛场上可对球类运动轨迹进行跟踪和记录并在辅助裁判对边界球的判罚中起着重要作用,然而由于网球提取过程存在目标小、飞行速度快、光照变化、广告字符以及其他的运动物体影响的问题,网球特征参数提取精准度有待进一步提升。针对这些问题,提出了一种鹰眼系统运动目标特征参数精确提取算法,该算法利用网球色彩一致性较好的特点,根据彩色训练获取网球色调的范围,在HSV色彩空间中对网球图像进行颜色分割,减少背景图像的干扰,采用帧间差分与混合高斯模型融合算法对网球图像进一步分割获取运动目标,对分割后的二值图像使用Sobel算子提取边缘信息减少后续目标圆检测的运算量提高效率,采用Hough圆变换检测轮廓边缘信息完成网球圆心和半径参数的精确提取。实验结果表明,该特征参数提取算法拟合准确率高、相对偏差小,具有一定的实际应用价值。

Accurate Extraction Algorithm of Moving Target Feature Parameters in Hawkeye System

The Hawkeye system can track and record the trajectory of the ball on the field, and plays an important role in assisting the referee to decide the boundary ball. However, due to the problems of small target, fast flight speed, light changes, advertising characters and other moving targets in the tennis extraction process, the accuracy of tennis feature parameter extraction needs to be further improved. In order to solve these problems, an accurate extraction algorithm of moving target feature parameters in Hawkeye system was put forward. The algorithm made use of the characteristics of good color consistency of tennis, obtains the range of tennis tone according to color training, the tennis image was segmented in the HSV color space to reduce the interference of background image, the fusion algorithm of inter-frame difference and mixed Gaussian model was used to further segment the tennis image to get the moving target. Sobel operator was used to extract the edge information of the segmented binary image to reduce the amount of calculation of subsequent target circle detection and improve the efficiency. The precise extraction of tennis and radius parameters was accomplished by using Hough circle transform to detect contour edge information. The experimental results show that the feature parameter extraction algorithm has high fitting accuracy and small relative deviation, and has a certain practical application value.