The invention discloses a traffic flow real-time statistical method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the preliminary recognition of vehicles in a road video through a vehicle detection model, and eliminating the influence of external parameters, such as the environment; the features of the vehicle are further obtained through the convolutional neural network, the accuracy of the vehicle position frame can be effectively ensured, and the accuracy of vehicle flow statistics is improved; the vehicle position frames are matched and numbered through the Kalman filtering algorithm and the Hungary algorithm, the uniqueness of the same vehicle in all the images can be effectively guaranteed, the numbering accuracy is guaranteed, and therefore the accuracy of the finally obtained vehicle flow is effectively guaranteed.
本申请公开了一种车流量实时统计方法、装置、电子设备以及存储介质,该方法通过车辆检测模型对道路视频中的车辆进行初步识别,排除了环境等外部参数的影响;通过卷积神经网络进一步获取车辆的特征,能够有效保证车辆位置框的准确性,提高统计车辆流量的准确性;通过卡尔曼滤波算法和匈牙利算法对车辆位置框进行匹配和编号,能够有效保证同一车辆在所有图像中的唯一性,保证编号的准确性,从而有效保证最终得到的车辆流量的精确度。
Traffic flow real-time statistical method and device, electronic equipment and storage medium
车流量实时统计方法、装置、电子设备以及存储介质
2022-12-09
Patent
Electronic Resource
Chinese
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