Harris角点检测在列车滑动监测系统中的应用

Harris corner detection in the application of the training sliding monitoring system

为了避免列车停车缺陷造成重大事故,通过Harris角点检测算法在列车滑动监测系统中的应用,实时在线监测列车停靠状态。该方法通过对比摄像头提取的两帧图像中角点的变化来判断列车是否滑动,及时发现并消除由于止轮器异常引发的列车停车场作业缺陷,防止止轮器丢失引起的停车作业事故的发生,实践证明该方法具有实时性和准确性。

Through the Harris corner detection in the application of the sliding monitoring system, the method by comparing the cam- era for two images of the extraction of the change of the corner to judge whether the train sliding. The system can provide real-time monitoring for the train docking state and alarm to trains with abnormal hidden danger.