Moving object speed measurement for low-camera-angle surface surveillance

被引：0
|
作者：
Zhang T. [1 ]
Ding M. [2 ]
Qian X. [2 ]
Zuo H. [2 ]
机构：
[1] College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing
[2] College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2020年 / 46卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Airport surface surveillance; Calibration; Low camera angle; Speed measurement; Trajectory clustering;
D O I：
10.13700/j.bh.1001-5965.2019.0234
中图分类号：
学科分类号：
摘要：
To build an effective airport surface visual surveillance system, a moving object speed measurement method based on long-term feature point tracking and analysis is proposed. First, the surveillance camera is calibrated using geographic features on the airport surface. Then, the feature points in motion regions of the images are continuously tracked via optical flow fields. On this basis, different moving objects are identified by clustering the feature point trajectories. Finally, the speeds of the moving objects are measured according to the heights and moving distances of the feature points. The proposed method can accurately measure the object moving speeds using low-camera-angle monocular video images obtained by cameras installed on the airport surface. Simulation studies are conducted based on the surface operation videos of Guangzhou Baiyun International Airport, which verify the feasibility and advantages of the proposed method for low-camera-angle speed measurement. © 2020, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码：266 / 273
页数：7
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