By Topic

Research on moving objects tracking 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
$33 $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

3 Author(s)
Xuebo Chen ; School of Electronic and Information Engineering, Liaoning University of Science and Technology, Anshan, China ; Ying Zhang ; Meijuan Li

Moving objects tracking is the important content in the field of computer vision and is also the basic for the constituent work such as behavior comprehension, etc.. Moving objects tracking has wide applications in many fields. This paper tracked the moving car and pedestrian at real time based on Kalman filter. Experiment results showed that the Kalman filter can accurately estimate parameters of the object,such as the next position and velocity etc., which will offer much more facilities to the followed works like correspondence matching and so on.

Published in:

Intelligent Control and Automation (WCICA), 2011 9th World Congress on

Date of Conference:

21-25 June 2011