基于虚拟线圈的车速检测算法研究  

Research on Speed Detection Algorithm Based on Virtual Loops

作　　者：黄大君 吴昊 HUANG Da-jun;WU Hao(School of Computer Science and Technology,Hefei Normal University,Hefei 230601,China)

机构地区：[1]合肥师范学院计算机学院

出　　处：《兰州文理学院学报（自然科学版）》2020年第1期76-81,共6页Journal of Lanzhou University of Arts and Science(Natural Sciences)

摘　　要：针对传统基于地感线圈的车速检测方法施工复杂、需要破除路面等不足,文中设计了一种基于视频图像处理的车速检测算法,在视频图像的特定区域设置虚拟线圈,共设置两个线圈,通过帧间灰度差,判断是否有车辆到来,然后通过两个特定位置的虚拟线圈的坐标换算出距离,经过图像匹配计算出车辆通过线圈的时间,从而计算出车速.通过实验对实际场景多次分析获得阈值,具有较高的准确性和可靠性.In view of the complexity of the construction of the traditional speed detection method based on the ground sensing loops and the need to break the road surface,a vehicle speed detection algorithm based on video image processing is designed.A virtual coil is set in a specific area of the video image,and a total of two coils are set.Based on the gray level difference between frames,determine whether a vehicle arrives,and then calculate the distance through the coordinates of the virtual coils at the two specified positions,calculate the time for the vehicle to pass the coils through image matching,and calculate the vehicle speed.The algorithm obtains the threshold value by analyzing the actual scene multiple times through experiments,and has high accuracy and reliability.

关 键 词：车速检测 虚拟线圈 阈值 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]