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

Object matching using hybrid modified RGB color model and HRR-based background detection

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

3 Author(s)
Guo, J.-M. ; Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei ; Yang-Chen Tian ; Jiann-Der Lee

This study presents a pixel-wise statistical approach to distinguish every pixel into foreground, background, shadow or highlight for background subtraction and foreground detection. The modified RGB color model is proposed to effectively reduce misclassifying the foreground pixels into highlights. The modified Highest Redundancy Ratio (HRR)-based background update method is also proposed to overcome the lighting variation and slow motion object problems in background reconstruction. In tracking procedure, a decision function with low computational complexity is proposed to sequentially evaluate the objectspsila correlation between consecutive frames. The decision function consists of the objectspsila centroid distances, objectspsila area differences, and objectspsila overlapping areas between current frame and previous frame. As documented in experimental results, the proposed method can achieves high matching rate, which is great advantageous in surveillance systems.

Published in:

Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE

Date of Conference:

10-13 Nov. 2008

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.