Visual tracking by particle filtering in a dynamic environment
by Guocheng Liu, Yongji Wang
International Journal of Modelling, Identification and Control (IJMIC), Vol. 10, No. 1/2, 2010

Abstract: An improved particle filter algorithm was presented to track a moving target under natural environment, in which the colour histogram was integrated with the measurement model, the latest observations were taken into account and the system model is the second order autoregressive process. The proposed method can deal with rotation and scale transformation, variations in the light source and partial occlusions and the tracked target can be rigid or non-rigid. The demonstration examples showed that the method can track the target with robustness in real-time.

Online publication date: Fri, 02-Jul-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com