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
Link To Document :
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