By Topic

Fuzzy Color Histogram Based Kernel Tracking under Varying Illumination

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

4 Author(s)
Yongzhong Wang ; College of Automation, Northwestern Polytechnical University, Xi'an, P. R. China ; Quan Pan ; Chunhui Zhao ; Yongmei Cheng

A conventional color histogram is sensitive to noisy interference such as lighting changes and quantization errors. Therefore the tracker based on conventional color histogram is unreliable or even failed under varying illumination. In this paper we propose a dynamically corrected fuzzy color histogram based kernel tracking algorithm, which utilizes the local background information around tracking target to dynamically correct its fuzzy color histogram model and eliminates the sensitive of conventional color histogram to illumination change and noise. The algorithm is tested on several image sequences and shown that it can smooth the similarity surface and achieve robust and reliable frame-rate tracking results under varying illumination conditions.

Published in:

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on  (Volume:4 )

Date of Conference:

24-27 Aug. 2007