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In urban environments there are daily issues of traffic congestion which city authorities need to address. Realtime analysis of traffic flow information is crucial for efficiently managing urban traffic. This paper aims to conduct traffic analysis using UAV-based videos and deep learning techniques. The road traffic video is collected by using a position-fixed UAV. The most recent deep learning methods are applied to identify the moving objects in videos. The relevant mobility metrics aredoi:10.1109/avss.2019.8909879 dblp:conf/avss/ZhangLBC19 fatcat:swt7z3svtbdszj5t5g45h6vjfa