基于颜色分布特征的足球视频禁区检测

足球视频影响着人们的日常生活，人们对足球视频的关注更多地体现在对其中进球、射门等精彩事件上。而这些事件大都发生在左右禁区附近，显然左右禁区的准确检测在足球视频处理中起着关键的作用。本文在研究当前主流检测算法的基础上提出了一种基于颜色分布特征的足球视频禁区检测算法，该算法利用SVM对足球左右禁区颜色分布特征进行监督学习，进而检测出左右禁区。通过实验证明该方法高效并且可以达到较高精准度。

Soccer Penalty Area Detection Based on the Color Distribution

Football video is affecting people's daily lives. People pay close attention to the football video of them reflected in the scoring,shooting and other exciting events . What is more,these events take place all around the penalty area nearby. Obviously,the accurately detection of penalty area plays a key role in the football video processing. Based on the study of the current mainstream detection algorithm, this paper presents an algorithm of soccer penalty area detection, which using color distribution characteristics by SVM supervised learning. Experiments show that this method can achieve high efficiency and accuracy.