The invention relates to an intersection traffic conflict discrimination method based on a real-time vehicle track. The method comprises the following steps: 1, collecting real-time video image data,and carrying out image graying, median filtering and binarization preprocessing; 2, establishing a video background model according to a Gaussian mixture background model, and extracting a vehicle target through morphological filtering; 3, according to the centroid coordinates of a minimum external rectangular frame of an extended Kalman filtering method, obtaining the moving track of a vehicle, and tracking a moving target; 4, acquiring intersection traffic flow track speed parameter data; and 5, based on the real-time traffic flow data, creating a traffic conflict discrimination model and aconflict counting method of the vehicle. The invention provides a video-based traffic conflict discrimination and counting method for vehicle moving tracks, traffic conflicts at intersections can be detected in real time and counted, higher efficiency and more accuracy are achieved, and compared with the traffic conflict number obtained by a manual counting method, the accuracy is higher.
本发明涉及一种基于实时车辆轨迹的交叉口交通冲突判别方法,包括如下步骤:步骤一、采集实时视频图像数据,对其进行图像灰度化、中值滤波和二值化的预处理;步骤二、根据混合高斯背景模型建立视频背景模型,并通过形态学滤波提取车辆目标;步骤三、根据扩展卡尔曼滤波方法的最小外接矩形框的质心坐标,获取车辆的运行轨迹,并跟踪运动目标;步骤四、采集交叉口交通流轨迹速度参数数据;步骤五、基于实时的交通流数据,创建车辆的交通冲突判别模型和冲突计数方法。本发明提供了基于视频的车辆运行轨迹的交通冲突判别和计数方法,可以实时检测交叉口的交通冲突并计数,更加的高效准确,通过与人工计数法获得的交通冲突数相比较,准确度较高。
Intersection traffic conflict discrimination method based on real-time vehicle track
基于实时车辆轨迹的交叉口交通冲突判别方法
2020-07-24
Patent
Electronic Resource
Chinese
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