Volume 36 Issue 3
Mar.  2011
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LIU Hui, LI Qingquan, ZENG Zhe, GAO Chunxian. Vehicle Detection in Low-Altitude Aircraft Video[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3): 316-320.
Citation: LIU Hui, LI Qingquan, ZENG Zhe, GAO Chunxian. Vehicle Detection in Low-Altitude Aircraft Video[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3): 316-320.
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Vehicle Detection in Low-Altitude Aircraft Video

  • 1 School of Electronic Information,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2 Transportation Research Center,Wuhan University,129 Luoyu Road,Wuhan 430079,China;3 Key Laboratory of Underwater Acoustic Communication and Marine Information Technology,Ministry of Education, Xiamen University,422 South Siming Road,Xiamen 361005,China;4 College of Geo-resources and Information,China University of Petroleum,739 Beiyi Road,Dongying 257061,China

Funds: 国家创新团队资助项目(40721001)；国家博士点专项基金资助项目(20070486001)；中央高校基本科研业务费专项资金资助项目(10CX05007A)
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  • Received Date: January 10, 2011
  • Published Date: March 04, 2011
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  • Detecting moving ground vehicles from airborne video is a difficult problem because all pixels in the image are moving due to the self motion of the camera.We present a technique based on the normal component of the residual flow algorithm applied on using SURF operator stabilized frames to detect moving vehicles.Experiments show using SURF operator can improve the image stabilizing algorithm speed without loss of accuracy and this approach can effectively detect the moving vehicles.This method and airborne platform can be used as a new attempt to traffic information collection when the routine method can not be used.
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