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地下隧道单向双车道双洞交通事故准确检测 被引量:1

One-Way Two-Lane Double Tunnel Tunnel Traffic Event Detection Simulation
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摘要 针对当前检测方法通过地下隧道监控视频检测交通事件,难以准确获取运动目标轨迹参数,存在耗时长、交通事故检测判别不准确等缺点,提出基于运动目标轨迹跟踪的地下隧道单向双车道双洞交通事故准确检测方法。利用背景差法获取地下隧道监控视频运动目标前景。在使用基于边缘检测和HSV颜色空间相融合算法对存在遮挡的运动目标去除阴影的基础上,采用卡尔曼滤波算法对运动目标进行跟踪,得到待检测事件序列的运动轨迹,将复杂的车辆轨迹划分为前行、反行、停滞、斜行四类轨迹元素,依据轨迹元素对待测交通事件的行驶行为进行数学建模,通过该模型准确检测交通事故的发生。实验结果表明,所提方法能够快速准确获取运动目标轨迹参数,在一定程度上提髙了检测效率,且地下隧道单向双车道双洞交通事故的检测精度较高。 In the current detection method,it is difficult to accurately obtain the trajectory parameter of moving target.Meanwhile,the detection and discrimination for traffic accident is not accurate.This article puts forward a method for accurately detecting traffic accident in one-way double-lane of double-hole underground tunnel based on trajectory tracking of moving target.At first,the background subtraction method was used to obtain the foreground of monitor video moving target in underground tunnel.Secondly,the fusion algorithm based on edge detection and HSV color space was used to remove the shadow of moving object with shelter,and then Kalman filter algorithm was used to track the moving object,so as to obtain the moving track of event sequence which needed to be detected.Mo reover,the complex vehicle trajectory was divided into four kinds of trajectory elements:ahead,backward,stop,and left or right.According to the trajectory elements,the mathematical modeling was performed on the driving behavior of traffic event to be detected.Thus,the traffic accident was detected accurately by this model.Simulation results show that the proposed method can quickly and accurately obtain the trajectory parameters of moving target,which improves the detection efficiency.Meanwhile,the detection accuracy of traffic accident in one-way double-lane of double-hole underground tunnel is higher.
作者 胡永 HU Yong(School of Information Engineering,Xizang Minzu University,Xianyang Shanxi 712082,China;Xizang Key Laboratory of Optical Information Processing and Visualization Technology,Xianyang Shanxi 712082,China)
出处 《计算机仿真》 北大核心 2019年第6期155-159,共5页 Computer Simulation
基金 基于视频的公路隧道交通事件检测算法研究(17JK1188)
关键词 单向双车道 双洞隧道 交通事故检测 卡尔曼滤波算法 One-way double lane Double-hole tunnel Traffic event detection Kalman filter algorithm
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