基于计算机视觉的车辆违章轧线监管系统研究

Research on Vision-based Monitoring System of Vehicles for Violation of Traffic Line

针对目前车辆违章轧线监管系统监控范围小和准确率有待提高的问题,为了尽可能扩大监控范围和提高准确率,本文提出一种基于高速球型摄像机的主动智能车辆轧线监管方法。首先,根据实际需求设计硬件系统和软件系统,并利用高速球机的机动性,提出静态检测和动态抓拍相结合的方法,以扩大监管范围。此外,针对准确率不高的问题,提出两步轧线检测算法,即根据前景最小外接矩形框初步判断是否轧线,再进一步通过轧线附近的区域统计前景比例来精确判断,从而提高轧线检测的准确率和抗干扰能力。实验结果表明,相比于传统轧线检测系统,本文设计的系统监控范围扩大了1倍,并且检测准确率提高了21.1%,实现了大范围内对违章轧线车辆的有效监管。

At present,the effective range of the monitoring system for violation of traffic line is small,and the detection accuracy of violation is still to be improved. In order to expand the scope of monitoring and improve accuracy,this paper proposes a new method of vehicles for violation of traffic line based on high speed ball type camera. First of all,according to the actual demand,we design the hardware system and software system,and by high-speed ball machine mobility,a method is proposed based on static detection and dynamic capture,to expand the scope of supervision. In addition,aiming at the problem that the accuracy rate is not high,the two step rolling line detection algorithm is proposed,That is,according to the prospect of the smallest external rectangular box to determine the rolling line,and then further through the region near the rolling line statistical prospects to accurately judge,thereby improving the accuracy of the rolling line detection and anti-interference ability. Experimental results show that,compared with the traditional rolling line detection system,the system expands monitoring range 1 times,and the detection accuracy is improved by 21. 1%,realizes the effective supervision of the vehicle in a large range.