Vehicle abnormal driving detection method, electronic equipment and storage medium

The invention discloses a vehicle abnormal driving detection method, electronic equipment and a storage medium, and relates to the field of road vehicle driving detection.The method comprises the steps that a road section video is acquired, and a to-be-tracked target vehicle is determined according to the road section video; the to-be-tracked target vehicle is tracked through an improved Kalman filtering algorithm, a corresponding driving track is obtained, and a covariance matrix of the improved Kalman filtering algorithm is optimized through a preset BP neural network model; and judging whether the target vehicle runs abnormally or not according to the running track. According to the invention, the precision of vehicle abnormal driving detection is improved. 本发明公开了一种车辆异常行驶检测方法、电子设备、存储介质，涉及道路车辆行驶检测领域，所述方法包括获取路段视频，并根据所述路段视频，确定待跟踪的目标车辆；通过改进的卡尔曼滤波算法对所述待跟踪的目标车辆进行跟踪，得到对应的行驶轨迹，其中，所述改进的卡尔曼滤波算法的协方差矩阵通过预设的BP神经网络模型进行优化；根据所述行驶轨迹，判断所述目标车辆是否行驶异常。本发明有利于提高车辆异常行驶检测的精度。