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以高速公路收费站监控视频为背景,提出一种可自动分析和检测横杆运行状态的方法,从而判断车辆通过与否并统计车辆数。该方法的实现,首先对横杆的颜色特征和轮廓几何特征进行学习;然后对监控视频图像进行颜色和几何特征匹配以滤除非横杆区域;再对得到的疑似横杆区域进行修复;最后计算横杆的重心坐标及其运动状态以判断开闭状态。样本测试显示,新方法能有效克服视频场景中各种干扰因素的影响,提高车辆计数的准确性。
Abstract：Based on the detection video of the highway toll-gate,a novel video-based-automatic cross-bar state detection method was proposed.The method can count the number of whether the vechile pass or does not.To achieve the goal,firstly,the color feature and geometric feature of the cross-bar should be learned;secondly,the suspect cross-bar region is estimated by color matching and geometric matching from each frame;finally,the position and state of the cross-bar are estimated by calculating the position of the cross-bar center and its movement.Experiments shown that the new method can decrease the false detections and increases the accuracy of the vehicle counting system effectively.
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基本信息:
中图分类号:TP391.41
引用信息:
[1]陈琦,刘畅,刘霄,等.公路收费站横杆状态的视频检测方法及应用[J],2013,11(01):121-127.