DocumentCode :
2721540
Title :
Robust camera calibration tool for video surveillance camera in urban environment
Author :
Lee, Sung Chun ; Nevatia, Ram
Author_Institution :
Inst. for Robot. & Intell. Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2011
fDate :
20-25 June 2011
Firstpage :
62
Lastpage :
67
Abstract :
Video surveillance applications such as smart room and security system are prevailing nowadays. Camera calibration information (e.g. camera position, orientation, and focal length) is very useful for various surveillance systems because it can provide scene knowledge and limit search space for object detection or tracking. In this paper, we describe a camera calibration tool that does not require any calibration object or specific geometric objects by using vanishing points. In urban environment, vanishing points are easily obtainable since there exist many parallel lines such as street lines, light poles, buildings, etc in either outdoor or indoor scene images. Experimental results from various surveillance cameras are presented.
Keywords :
cameras; object detection; object tracking; video signal processing; video surveillance; camera calibration information; object detection; object tracking; robust camera calibration tool; security system; urban environment; video surveillance camera; Calibration; Cameras; Computer vision; Estimation; Urban areas; Video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location :
Colorado Springs, CO
ISSN :
2160-7508
Print_ISBN :
978-1-4577-0529-8
Type :
conf
DOI :
10.1109/CVPRW.2011.5981777
Filename :
5981777
Link To Document :
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