The invention discloses a vehicle track extraction method based on a roadside fixed camera. The method comprises the following steps: step 1, collecting a vehicle image through the roadside fixed camera and preprocessing the vehicle image; 2, making the vehicle images collected in the step 1 into a data set; step 3, training a YOLOv8 network by using the data set, and then processing the vehicle image acquired in the step 1 by using the trained YOLOv8 network so as to complete multi-target detection; step 4, image calibration: through inverse perspective transformation, establishing transformation of a lane line from a camera view angle to an overhead view angle; and step 5, performing data visualization, and outputting a visual trajectory diagram and a speed distribution diagram by extracting the trajectory of the vehicle. The method has the advantages of high detection efficiency and high accuracy, can be used as an important data source for traffic behavior research, improves traffic safety, and optimizes traffic management.
本发明公开了一种基于路侧固定摄像头的车辆轨迹提取方法,包括以下步骤:步骤1、通过路侧固定摄像头采集车辆影像并进行预处理;步骤2、将步骤1采集的车辆影像制作为数据集;步骤3、采用数据集对YOLOv8网络进行训练,然后利用训练好的YOLOv8网络处理步骤1采集的车辆影像,由此完成多目标检测;步骤4、图像标定,通过逆透视变换,建立车道线从摄像机视角到俯瞰视角的转变;步骤5、数据可视化,通过对车辆的轨迹提取,输出可视化轨迹图与速度分布图。本发明具有检测效率高、准确度高的优点,可作为交通行为研究重要数据源,提高交通安全、优化交通管理。
Vehicle track extraction method based on roadside fixed camera
基于路侧固定摄像头的车辆轨迹提取方法
2025-02-18
Patent
Electronic Resource
Chinese
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