The invention discloses a method for identifying a highway vehicle passing event, and belongs to the technical field of visual image detection data processing. According to the method, judgment is carried out by using data collected by the highway camera. The method comprises the steps of vehicle detection, vehicle trajectory tracking, vehicle flow calculation, congestion judgment, driving accident judgment, illegal parking and driving judgment. According to the method, the image features input into the convolutional neural network can be abstracted automatically layer by layer, the workload of manually marking the features is reduced, and the labor cost and the time cost are saved; vehicle target positioning is rapidly realized, and vehicle types (cars, trucks, buses and the like) can beidentified; the system has good adaptability to different environments, illumination intensities and weather conditions; customizing requirements are flexible (event recognition parameters such as a detection boundary line and a vehicle speed threshold value can be adjusted in real time); for a crowded environment of large-flow vehicles, the shielding problem can be solved to a certain extent, andhigh detection accuracy is ensured.
本发明公开了一种识别高速公路交通工具通行事件的方法,属于视觉图像检测数据处理技术领域,通过利用高速公路摄像头所采集的数据进行判断,包括步骤有:车辆检测、车辆轨迹追踪、车流量计算、拥堵判断、行车事故判断和违章停车、行车判断;该方法可以自动逐层抽象出输入卷积神经网络的图像特征,减少人为标记特征的工作量,节约人工成本和时间成本;快速实现车辆目标定位,并能识别出车辆类型(小汽车、卡车、大巴等);对不同环境,光照强度,和天气情况,均具有良好的适应性;定制需求灵活(可即时调整事件识别参数,如检测边界线、车速阈值等);对大流量车辆的拥挤环境,可以在一定程度上处理遮挡问题,保证较高的检测准确率。
Method for identifying highway vehicle passing event
一种识别高速公路交通工具通行事件的方法
2021-01-12
Patent
Electronic Resource
Chinese
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