基于图像分割算法的运动员射击运动轨迹提取方法

Liangkai Guan
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引用次数: 1

摘要

投篮动作是篮球比赛中常用的进攻方式之一。提出了一种基于图像分割算法的篮球投篮动作提取方法。针对篮球视频中投篮对象的独特性,对视频图像进行高斯混合建模,利用Grab Cut算法对篮球对象进行分割,实现篮球前景的提取。仿真实验结果表明,在篮球视频中,对投篮目标进行了分割和提取。该方法具有交互操作少、分割精度高的优点,可以扩展图像的颜色场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extraction Method of Athlete's Shooting Motion Trajectory Based on Image Segmentation Algorithm
The shooting action is one of the commonly used offensive methods in basketball games. This article proposes a method of extracting the basketball shooting action based on the image division algorithm. Aiming at the unique feature of the basketball shooting object in the basketball video, the video image is mixed with Gaussian modeling, and the Grab Cut algorithm is used to divide the basketball object to realize the extraction of the basketball foreground. The results of the simulation experiments show that in the video of the basketball ball, the goal of the basketball shot is divided and extracted. It has good results, and the method has the advantages of less interactive operations and high accuracy of division, which can extend the color field of the image.
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