By Topic

A novel camera calibration algorithm based on Kalman filter

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Stringa, E. ; Inst. for Syst. Inf. & Safety, Joint Res. Centre, Ispra, Italy ; Regazzoni, C.S.

A camera calibration method for video-surveillance applications is presented. The proposed method works on the hypothesis of a fixed TV camera and it is developed in order to minimize the human intervention during the calibration process. For the application, the proposed algorithm needs the 3D measure of only one point in the scene. Other measures are simulated by using a moving object whose geometry is known and by estimating the 3D position of the object by means of an extended Kalman filter. Experimental results show that the proposed algorithm, other than simplify the installation step of video-surveillance systems, considerably improves the accuracy of the calibration with respect to similar algorithms

Published in:

Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:1 )

Date of Conference: