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:2019,28(7):221-227
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改进LK光流法在复杂环境中对移动小球目标追踪
(西安工程大学 机电工程学院, 西安 710048)
Improved LK Method Tracks Mobile Ball in Complex Background
(School of Mechanical and Electrical Engineering, Xi'an Polytechnic University, Xi'an 710048, China)
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投稿时间:2019-01-04    修订日期:2019-01-24
中文摘要: 针对传统Lukas-Kanade法(以下简称LK法)在板球系统中追踪小球难以捕捉圆心、追踪精度不高问题,提出一种基于hough变换的改进LK法.传统LK法确定角点主要是选取图中灰度梯度大的地方,角点总是在小球边缘而无法深入圆心,采用改进LK法选取角点是将图像的二维XY坐标系转换为三维ABR坐标系,通过累积数量和累积权重确定圆心.通过该点的图像的灰度梯度,进行追踪.结果显示改进的光流法对目标的捕捉要优于传统LK光流和反向直方图投影法.
Abstract:For the traditional Lukas-Kanade (LK) method, it is hard to capture the ball center in the Ball-Plate system and the accuracy of tracking is not exact. A way to improve the LK method based on the Hough transform is proposed. Traditional LK method chooses corner where the change of gray scale is obvious in the image. Usually the cornet is distributed at the edge of circle and cannot go deep into the center of the circle. By using the improved LK method to select the corner, the two-dimensional XY coordinate system is transformed into 3D ABR coordinate system. The center is determined by accumulate number and accumulate weight. The ball is tracked by this center point's gray scale. The results show that the improved optical flow method is better than the traditional LK optical flow and histogram method.
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基金项目:湖北省数字装备重点实验室开放课题(DTL2018004)
引用文本:
刘夏轩德,沈丹峰,张旭祥,张国英.改进LK光流法在复杂环境中对移动小球目标追踪.计算机系统应用,2019,28(7):221-227
LIUXIA Xuan-De,SHEN Dan-Feng,ZHANG Xu-Xiang,ZHANG Guo-Ying.Improved LK Method Tracks Mobile Ball in Complex Background.COMPUTER SYSTEMS APPLICATIONS,2019,28(7):221-227

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