【摘要】 为配合高速公路入口处的货车称重工作,需要测量车辆通过称重台时的实时速度。利用双目视觉技术测速具有成本低、部署简单、稳定性高的优点,具有广阔的应用前景。双目视觉测速的技术难点是目标的位移测量,其核心问题是目标在多帧图像间的精准匹配。文中提出了一种基于空间位置的匹配区域对齐算法与基于模板匹配的空间位移计算方法。具体地,利用车轮的空间位置关系来限制车轮的匹配区域,可有效降低相似车轮的误匹配问题;使用模板匹配的方法追踪车轮的关键点,进而获得多帧之间车轮的空间位移。使用某高速公路入口的真实通行视频数据进行实验验证,结果表明,与其他双目测速方法相比,所提方法使得测速结果的RMSE下降了20%～40%,且更加适用于车辆以较快速度(10～20 km/h)通过高速公路入口测速点的实际场景。更多还原

【Abstract】 Real-time speed measurement is a vital issue to assist truck weighing at the entrance of expressway when a truck passes through a scale.Binocular vision technology technically has the advantages of low cost, easy deployment and high stability, which qualify it a potential for prospective application.The key point for binocular vision based speed measurement is displacement-measuring of a target, which is subject to accurate target matching in multiple frames.This paper presents an alignment algorithm on region matching based on spatial location and a calculation method for spatial displacement based on template ma-tching.Specifically, relative spatial location of a wheel is introduced to restrain its matching area, which effectively reduces the mismatching on similar wheels; template matching is derived to track the key points of a wheel for spatial displacement between multiple frames.The practical traffic video data taken at an expressway entrance is applied to experiments.The results show that, compared with other binocular vision based speed measurement methods, our method declines the RMSE of the speed measurement results by 20%～40%,and it more suitable for the real scene when vehicles pass the speed measurement point at the entrance of expressway at a relatively high speed(10～20 km/h).更多还原