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    Camera Calibration Method Exploiting Reference Images and Roadway Information for Traffic Applications

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2015:;Volume ( 009 ):;issue: 004
    Author:
    Liu Hao
    ,
    Zhang Run-chu
    ,
    Du Qian-yun
    ,
    Yu Zhu-liang
    ,
    Zhang Ke
    DOI: 10.1061/JHTRCQ.0000471
    Publisher: American Society of Civil Engineers
    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.
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      Camera Calibration Method Exploiting Reference Images and Roadway Information for Traffic Applications

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/82700
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    • Journal of Highway and Transportation Research and Development (English Edition)

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    contributor authorLiu Hao
    contributor authorZhang Run-chu
    contributor authorDu Qian-yun
    contributor authorYu Zhu-liang
    contributor authorZhang Ke
    date accessioned2017-05-08T22:33:49Z
    date available2017-05-08T22:33:49Z
    date copyrightDecember 2015
    date issued2015
    identifier other49745088.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82700
    description abstractA 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.
    publisherAmerican Society of Civil Engineers
    titleCamera Calibration Method Exploiting Reference Images and Roadway Information for Traffic Applications
    typeJournal Paper
    journal volume9
    journal issue4
    journal titleJournal of Highway and Transportation Research and Development (English Edition)
    identifier doi10.1061/JHTRCQ.0000471
    treeJournal of Highway and Transportation Research and Development (English Edition):;2015:;Volume ( 009 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian