基于智能视觉的机场区域移动目标的检测方法研究

摘要

For the demand of visual surveillance in airport area,the background difference method and inter-frame difference method are used to detect the moving target in static background of the airport sensitive area,which is on the basis of the preprocessing for the video image collected in the airport area.Taking the areas of Nanchang Changbei International Airport and Harbin Taiping International Airport as the examples,the Kalman filtering tracking algorithm and Meanshift algorithm are used to detect the moving targets in the area,such as the airplane and guided vehicle.With Matlab simulation,the application situation of different algorithms is analyzed and compared to verify their feasibilities.%针对目前机场区域视觉监视的需要,在时机场区域采集的视频图像进行预处理的基础上,利用背景差分法、帧间差分法对机场敏感区域静态背景下的运动目标进行检测;以昌北国际机场和哈尔滨太平国际机场区域为例,采用Kalman滤波跟踪算法和Meanshift均值漂移算法检测区域的飞机及引导车等移动目标.通过Matlab仿真,分析并对比不同算法的适用情况并验证其可行性.