Object tracking in video via particle filter Online publication date: Mon, 28-Nov-2016
by Hamd Ait Abdelali; Fedwa Essannouni; Driss Aboutajdine
International Journal of Intelligent Engineering Informatics (IJIEI), Vol. 4, No. 3/4, 2016
Abstract: In this paper, we present a new method for object tracking. We use an efficient local search scheme based on the probability product kernel using particle filter (PPKPF) to find the image region with a histogram most similar to the histogram of the tracked target. Experimental results verify the effectiveness of this proposed algorithm.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Intelligent Engineering Informatics (IJIEI):
Login with your Inderscience username and 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