基于光流法检测来车的轨旁作业安全防护策略

鉴于列车接近时预警缺失会使现场作业人员面临安全风险,并且现存的人工三点防护方法、基于雷达的车辆接近预警方法及其他方法并不完善,同时为实现对现场列车的准确检测,现提出一种基于光流法检测来车的轨旁作业人员安全防护策略。该策略利用光流法的视频检测方法检测铁路现场防护区段车辆的运动情况。算法采用两级判别结构,首先利用光流法捕捉视频中的运动物体,其次根据不同运动物体在视频中同一位置的不同面积占比,辨别视频中的运动物体是否为钢轨上行驶的列车。由铁路现场拍摄的视频实验可得,在现场视线较清晰的条件下,该防护策略能够准确检测到铁路防护区段行驶的列车,可为轨旁作业人员的安全提供技术保障。

Tactics of Trackside Operation Safety Protection Based on Optical Flow Method

In view of the safety risks of the trackside workers due to the lack of train approaching warning,and the imperfection of the existing artificial three-point protection method,radar-based vehicle approach warning method and other methods,a protection strategy is proposed to realize accurate detection of the train on the spot. The strategy is based on the optical flow method to detect the approaching train and to warning the workers in advance. Video detection method of the optical flow method is used to detect the movement of the train. The algorithm uses two levels of discriminant structure. Firstly,the optical flow method is used to capture moving objects in the video. Secondly,the moving objects in the video are distinguished according to the proportion of different objects in the same position in the video. The video experiment conducted on the railway site shows that this protection strategy can accurately detect the train running in the railway protection zone under the condition of clear line of sight,and it can provide technical support for the safety of the trackside workers.