Cart (Loading....) | Create Account
Close category search window
 

Adaptive Feature Selection for Infrared Object Tracking

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

1 Author(s)
ShuPeng Wang ; Sch. of Commun. & Inf. Eng., Xi''an Univ. of Sci. & Technol., Xi''an, China

This paper proposes a novel object tracking algorithm for the infrared object tracking. To improve the discrimination ability of the object model, the gray features which can be used to distinguish the object from its surrounding background is chosen to represent the object. This algorithm defines a discrimination function of gray features, and the "good" gray features are selected by analyzing the discrimination function in a large scale. To deal with the variation of the intensities of the infrared object and the background during tracking, an adaptive feature updating strategy is proposed. The two dimension histogram is built based on the selected features to model the object, and the object tracking is achieved by mean shift algorithm. The experimental results using real-life infrared image sequences are shown to validate the robustness and efficiency of the proposed algorithm.

Published in:

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Date of Conference:

23-25 Sept. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.