The invention relates to the field of image processing, in particular to a road traffic behavior anomaly detection method and system based on computer vision, and the method comprises the steps: continuously collecting and processing lane images, and obtaining preprocessed images; acquiring a marking distance according to an intersection distance between the preprocessed image lane line and the image lower edge; obtaining one-time driving probability parameters of the vehicle according to the pre-processed image marking distance; marking a distance change trend according to the preprocessed picture to obtain a vehicle driving trend parameter; calculating the mark distance fluctuation amplitude of the preprocessed picture, and obtaining vehicle fluctuation parameters according to the fluctuation amplitude; vehicle dangerous driving behavior parameters are obtained by combining the parameters, and whether the vehicle has dangerous driving behaviors or not is judged. According to the invention, dangerous driving behavior judgment is more accurate.
本发明涉及图像处理领域,具体涉及一种基于计算机视觉的道路交通行为异常检测方法及系统,包括:连续采集车道图像并进行处理获取预处理图像;根据预处理图像车道线与图像下边缘交点距离获取标记距离;根据预处理图像标记距离获取车辆一次行驶概率参数;根据预处理图片标记距离变化趋势获取车辆行驶趋势参数;计算预处理图片标记距离波动幅度,并根据波动幅度获取车辆波动参数;结合上述参数获取车辆危险驾驶行为参数并判断车辆是否存在危险驾驶行为。本发明使危险驾驶行为判断更准确。
Road traffic behavior anomaly detection method and system based on computer vision
基于计算机视觉的道路交通行为异常检测方法及系统
2025-03-18
Patent
Electronic Resource
Chinese
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