• DocumentCode
    492047
  • Title

    An automatic camera calibration method using GPS-enabled mobile device

  • Author

    Liao, Hsien-Chou ; Wu, Hong-Jhih

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Taichung
  • Volume
    01
  • fYear
    2009
  • fDate
    15-18 Feb. 2009
  • Firstpage
    760
  • Lastpage
    763
  • Abstract
    In our previous result, a GPS-enabled (global positioning system) device is incorporated into visual surveillance to provide a novel visual tracking service. A person carried such device can be tracked not only on a digital map, but also in the real-time camera image. However, the approach relies on a calibration method with five calibration points for transforming a GPS coordinate into an image coordinate. It is inconvenient to establish the calibration points. In this paper, an automatic calibration method is proposed to overcome the above drawback. Firstly, the operator in the real-time image is located by matching the GPS trace with those traces of moving objects. After the operator is located, five calibration points can be obtained from a series still-moving behavior. The experimental result shows that the accuracy of the automatic calibration is similar to that of manual calibration.
  • Keywords
    Global Positioning System; calibration; cameras; image motion analysis; mobile handsets; object detection; GPS-enabled mobile device; automatic camera calibration method; calibration points; global positioning system; image coordinate; image matching; moving object traces; real-time camera image; visual surveillance; visual tracking service; Calibration; Chaotic communication; Digital cameras; Global Positioning System; Humans; Mobile computing; Navigation; Object detection; Robot vision systems; Surveillance; camera calibration; global positioning system; mobile computing; moving object detection; visual tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
  • Conference_Location
    Phoenix Park
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-138-7
  • Electronic_ISBN
    1738-9445
  • Type

    conf

  • Filename
    4810060