基于摄像机的车辆测速仪

Vehicle Velocity Measurement System Based on Video Camera

由于基于单一摄像机的图像采集处理系统,不能获取图像空间距离与真实空间距离的映射关系,故尚未发现有基于这类系统的测速系统。本文利用城市道路中普遍存在的车道线标志,估计出这种映射关系。并且分析了传统光流方程算法的适用性,提出了一种以矩阵条件数为约束条件,以关联域匹配为预补偿的改进光流方程算法,从而使光流方程分析技术的可靠性得到保证。并在此基础上,提出了一种新的基于单一摄像机的车辆测速系统,它能在不附加其它测速或测距系统的情况下独立完成车辆的速度检测,并且能同时对多车辆进行测速。

Single camera based image processing system cant work out the distance mapping of image space against real space. So, in practice, there is no finding velocity measurement system based on image processing system found. In this paper, an arithmetic is proposed, which utilizes the roadway lines in the city to estimate the mapping relation. The applicability of traditional optical flow equation （OFE） is analyzed and an improved arithmetic is proposed, which takes matrix condition as constraint, takes correlative block-matching as pre-compensation, and guarantees the reliability of OFE. Moreover,a new velocity measurement system with single camera is suggested, which can measure vehicle velocity without using other speed measurement or distance measurement systems and can also measure velocities of multi-vehicles.