By Topic

Moving object tracking using camera motion corrected Kalman filtering

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
$33 $33
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)
J. F. Boyce ; King's Coll., London, UK ; D. L. Toulson

Displays the improved performance of an α-β-γ tracker which is obtained by compensating for the camera motion. The authors consider the effect of data drop out on the filter. They review the α-β-γ trackers, and define the transformation between the global and camera coordinate frames, which, together with the point-centered projection onto the image plane, define the corrections which compensate for changes of yaw, pitch and roll. Finally the authors present the results of the compensated filter using synthetic data

Published in:

Image Processing and its Applications, 1992., International Conference on

Date of Conference:

7-9 Apr 1992