A New Method for Automatically Labeling Aircrafts in Airport Video
The Second Research Institute of CAAC, Chengdu, Sichuan, China
* Corresponding author: firstname.lastname@example.org
For the problem that the airport video monitoring could only provide the image information while the label information including the flight number is not provided, a new method for automatically labeling aircrafts in airport video through the fusion of video and ADS-B data has been proposed. First, the image coordinates of aircrafts will be obtained through the image tracking of video. Then, the homography matrix between two projection planes will be calculated with the four and above point and line correspondences selected from the airport map and video image, respectively to the map image coordinates into the map coordinates. Finally, the aircrafts in video can be automatically labeled through the fusion of image tracking data and ADS-B monitoring data. Because an image coordinate measurement error exists at the time of selecting points from the image, the resulting coordinate conversion error is derived and the impact of point correspondence geometric layout on mesh coordinate mapping error is analyzed. Experiments have been conducted based on the actual data of Chengdu Shuangliu International Airport. The results show that the method can automatically label aircrafts in video in an effective way.
Key words: automatically labeling / video monitoring / ADS-B / data fusion / Homography Matrix / error analysis
© Owned by the authors, published by EDP Sciences, 2015
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