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基于视频数据的机场跑道外来物检测

陈唯实 李敬

陈唯实, 李敬. 基于视频数据的机场跑道外来物检测[J]. 北京航空航天大学学报, 2014, 40(12): 1678-1684. doi: 10.13700/j.bh.1001-5965.2013.0762
引用本文: 陈唯实, 李敬. 基于视频数据的机场跑道外来物检测[J]. 北京航空航天大学学报, 2014, 40(12): 1678-1684. doi: 10.13700/j.bh.1001-5965.2013.0762
Chen Weishi, Li Jing. Foreign object debris detection for airport runway with video data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(12): 1678-1684. doi: 10.13700/j.bh.1001-5965.2013.0762(in Chinese)
Citation: Chen Weishi, Li Jing. Foreign object debris detection for airport runway with video data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(12): 1678-1684. doi: 10.13700/j.bh.1001-5965.2013.0762(in Chinese)

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
基金项目: 民航安全能力建设资金项目(142146903033)
详细信息
    作者简介:

    陈唯实(1982-),男,天津人,高级工程师,chenwsh@mail.castc.org.cn.

  • 中图分类号: TP751.1

Foreign object debris detection for airport runway with video data

  • 摘要: 提出了一种基于视频数据的机场跑道外来物(FOD,Foreign Object Debris)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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出版历程
  • 收稿日期:  2014-01-13
  • 刊出日期:  2014-12-20

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