一种利用参考图像与路面信息的道路监控摄像机标定方法

doi:10.3969/j.issn.1002-0268.2014.11.022

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摘要 A video-based traffic flow detection system requires calibration of cameras to generate accurate estimates of vehicle speed. Traditional manual calibration methods cannot satisfy this requirement because calibration has complex procedures. A new traffic camera calibration method is proposed, which exploits reference images and roadway information. The proposed method requires only two parallel lane markings with a known width and a line perpendicular to the lane markings. Camera parameters, including focal length, tilt angle, pan angle, and camera height, can be recovered. A method based on reference images is further proposed to calculate ill-conditioned camera parameters, in which reference images are acquired by a rotating camera while keeping focal length unchanged. Camera recalibration can be easily realized through reference images and roadway information when cameras are moved manually. Simulation experiments demonstrate that the proposed method has the advantages of simple operation and accurate parameter estimations. The method also requires no manual operations and saves manpower.

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	刘浩
	张润初
	杜倩云
	俞祝良
	张可

关键词 ： traffic engineering, traffic flow detection, lane markings, camera calibration, video processing

Abstract：A video-based traffic flow detection system requires calibration of cameras to generate accurate estimates of vehicle speed. Traditional manual calibration methods cannot satisfy this requirement because calibration has complex procedures. A new traffic camera calibration method is proposed, which exploits reference images and roadway information. The proposed method requires only two parallel lane markings with a known width and a line perpendicular to the lane markings. Camera parameters, including focal length, tilt angle, pan angle, and camera height, can be recovered. A method based on reference images is further proposed to calculate ill-conditioned camera parameters, in which reference images are acquired by a rotating camera while keeping focal length unchanged. Camera recalibration can be easily realized through reference images and roadway information when cameras are moved manually. Simulation experiments demonstrate that the proposed method has the advantages of simple operation and accurate parameter estimations. The method also requires no manual operations and saves manpower.

Key words： traffic engineering traffic flow detection lane markings camera calibration video processing

收稿日期: 2015-01-19

基金资助:Supported by the China Postdoctoral Science Foundation (No.2014M560060); the Project of Beijing Municipal Science and Technology Project Plan (No.Z131106002813012)

通讯作者: LIU Hao, E-mail:hao.liu@bjjtw.gov.cn E-mail: hao.liu@bjjtw.gov.cn

引用本文:

刘浩, 张润初, 杜倩云, 俞祝良, 张可. 一种利用参考图像与路面信息的道路监控摄像机标定方法[J]. Journal of Highway and Transportation Research and Development, 2015, 9(4): 58-63.
LIU Hao, ZHANG Run-chu, DU Qian-yun, YU Zhu-liang, ZHANG Ke. Camera Calibration Method Exploiting Reference Images and Roadway Information for Traffic Applications. Journal of Highway and Transportation Research and Development, 2015, 9(4): 58-63.

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http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/10.3969/j.issn.1002-0268.2014.11.022 或 http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/Y2015/V9/I4/58

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