Multi-Camera Traffic Scene Mosaic Based on Camera Calibration
CSTR:
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [17]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    The intelligent traffic application under the single camera scene has been well developed, but the cross-regional research is still in its infancy. This study proposes a cross-camera scene stitching method based on camera calibration. Firstly, the mapping relationship between the physical information in the sub-world coordinate system and the two-dimensional image in the two camera scenes is established by vanishing point calibration. Secondly, the projection transformation between the cameras is completed by the common feature information between the two sub-world coordinate systems. The road scene stitching is completed by the proposed inverse projection idea and the translation vector relationship. The experimental results show that the proposed method can achieve road scene splicing and cross-region road physical measurement, which lays a foundation for relevant practical application research.

    Reference
    [1] Wan YW, Huang Y, Buckles BP. Camera calibration and vehicle tracking:Highway traffic video analytics. Transportation Research Part C:Emerging Technologies, 2014, 44:202-213. doi:10.1016/j.trc.2014.02.018
    [2] 徐德文. 基于视频的智能交通监控系统技术研究[硕士学位论文]. 西安:西北工业大学, 2004.
    [3] Datondji SRE, Dupuis Y, Subirats P, et al. A survey of vision-based traffic monitoring of road intersections. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(10):2681-2698. doi:10.1109/TITS.2016.2530146
    [4] 严腾. 高速公路场景下相机自动标定算法研究[硕士学位论文]. 西安:长安大学, 2018.
    [5] 王琳, 赵健康, 夏轩, 等. 基于双目立体视觉技术的桥梁裂缝测量系统. 计算机应用, 2015, 35(3):901-904. doi:10.11772/j.issn.1001-9081.2015.03.901
    [6] 吴战广. 隧道近景摄影测量影像解析与快速实现研究[硕士学位论文]. 成都:西南交通大学, 2016.
    [7] 刘大海, 卢朝阳. 视频技术在智能交通系统中的应用. 计算机工程, 2003, 29(17):165-166, 186. doi:10.3969/j.issn.1000-3428.2003.17.065
    [8] Wiska R, Alhamidi MR, Habibie N, et al. Vehicle traffic monitoring using single camera and embedded systems. Proceedings of 2016 International Conference on Advanced Computer Science and Information Systems. Malang, Indonesia. 2016. 117-122.
    [9] Dubska M, Herout A, Sochor J. Automatic camera calibration for traffic understanding. Proceedings of 2014 British Machine Vision Conference. Nottingham, UK. 2014. http://www.bmva.org/bmvc/2014/papers/paper013/index.html.
    [10] Khan S, Ali H, Ullah Z, et al. An intelligent monitoring system of vehicles on highway traffic. Proceedings of the 2018 12th International Conference on Open Source Systems and Technologies. Lahore, Pakistan. 2018. 71-75.
    [11] Zheng Y, Peng SL. A practical roadside camera calibration method based on least squares optimization. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(2):831-843. doi:10.1109/TITS.2013.2288353
    [12] 严红平, 汪凌峰, 潘春洪. 高速公路动态环境下的摄像机自标定. 计算机辅助设计与图形学学报, 2013, 25(7):1036-1044. doi:10.3969/j.issn.1003-9775.2013.07.014
    [13] Sochor J, Juránek R, Herout A. Traffic surveillance camera calibration by 3D model bounding box alignment for accurate vehicle speed measurement. Computer Vision and Image Understanding, 2017, 161:87-98. doi:10.1016/j.cviu.2017.05.015
    [14] Hong JX, Lin W, Zhang H, et al. Image mosaic based on SURF feature matching. Proceedings of the 2009 1st International Conference on Information Science and Engineering. Nanjing, China. 2009. 1287-1290.
    [15] 赵向阳, 杜利民. 一种全自动稳健的图像拼接融合算法. 中国图象图形学报, 2004, 9(4):417-422. doi:10.3969/j.issn.1006-8961.2004.04.007
    [16] 马嘉琳, 张锦明, 孙卫新. 基于相机标定的全景图拼接方法研究. 系统仿真学报, 2017, 29(5):1112-1119
    [17] Kanhere NK, Birchfield ST. A taxonomy and analysis of camera calibration methods for traffic monitoring applications. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(2):441-452. doi:10.1109/TITS.2010.2045500
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

武非凡,梁浩翔,宋焕生,贾金明,刘莅辰.基于相机标定的跨相机场景拼接方法.计算机系统应用,2020,29(1):176-183

Copy
Share
Article Metrics
  • Abstract:1473
  • PDF: 2711
  • HTML: 2976
  • Cited by: 0
History
  • Received:May 29,2019
  • Revised:June 24,2019
  • Online: December 30,2019
  • Published: January 15,2020
Article QR Code
You are the first991220Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063