基于OpenCV的机场跑道外来物报警系统设计

基于视频技术,采用计算机视觉库OpenCV开发了机场跑道外来物(FOD)报警系统。其中,目标识别模块采用混合高斯方法建模,并将背景法和帧差法结合实现静止目标和运动目标的检测;目标跟踪模块采用Camshift提高了跟踪的可靠性;报警模块针对目标的实际情况设定标准,超过标准则报警。

Design of Runway FOD Alarm System Based on OpenCV

Based on video technology, a FOD （Foreign Object Debris） alarm system for airfield runway was designed with the OpenCV function library. In the system, moudling of the target identification was made by Gauss Mixture model and through the combination of background difference method and frame difference method, both static and dynamic objects could be detected; a target tracking module was realized through categorization of Camshift in the OpenCV to enhance its reliability; standards were set up based on specific situation for the alarming module which will be activated when the limit is breached.