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基于视频数据的机场跑道外来物检测

DOI: 10.13700/j.bh.1001-5965.2013.0762, PP. 1678-1684

Keywords: 视频,跑道外来物,检测,背景差分,杂波抑制,马尔科夫随机场

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Abstract:

提出了一种基于视频数据的机场跑道外来物(FOD,ForeignObjectDebris)检测算法,该算法包括几何校正、背景差分、杂波抑制和伪装消除等4个步骤.其中,几何校正排除了摄像头轻微抖动造成的图像差异;背景差分利用每个像素对应的颜色向量信息,建立背景模型并进行定时更新;杂波抑制和伪装消除利用差分图像和原始图像信息,建立马尔科夫随机场和概率统计模型,在降低虚警的同时提高了检测率.将本算法应用于两组不同光照条件下获取的视频图像,检测不同形状和颜色的FOD目标;采用本算法对机场实测数据进行测试,验证了算法的有效性.

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