The embodiment of the invention provides an airport apron airplane state detection method and device. The method comprises the following steps: obtaining a real-time video image of an airport networkcamera according to a camera SDK, and carrying out detection and analysis of an airplane target; drawing a mask map of an airplane parking apron analysis area according to the real-time video image; performing deep learning aircraft detection on the real-time video image; and carrying out queue caching and analysis on the deep learning airplane detection result, and judging whether the airplane isdriven away from the parking apron or not. The method and the device can improve the detection accuracy and robustness of the airport parking apron aircraft state, can assist airport management personnel in monitoring the airport aircraft parking apron state, and have great practical application value.
本申请实施例提供一种机场停机坪飞机状态检测方法及装置,方法包括:根据摄像机SDK获取机场网络摄像机的实时视频图像,用于飞机目标的检测分析;根据所述实时视频图像绘制飞机停机坪分析区域的掩码图;对所述实时视频图像进行深度学习飞机检测;将所述深度学习飞机检测的结果进行队列缓存并进行分析,判断飞机是否驶离停机坪;本申请能够提高针对机场停机坪飞机状态进行检测的准确性和鲁棒性,可协助机场管理人员对机场飞机停机坪的状态进行监控,有重要的实际应用价值。
Airport apron airplane state detection method and device
机场停机坪飞机状态检测方法及装置
2021-03-19
Patent
Electronic Resource
Chinese
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