By Topic

Real Time Mean Shift Tracking Using the Gabor Wavelet

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

2 Author(s)
Li-ke Zhang ; Harbin Eng. Univ., Harbin ; Hongguang Zhao

This paper describes about real-time object tracking method based on mean shift tracking algorithm. The mean shift tracking algorithm is an efficient technique for tracking object through. But the original mean shift tracking algorithm has a fixed spatial template. Therefore the tracking result is affected by changes of the tracked object. This paper presents an adaptive template modification strategy which overcomes the influence. The proposed method adjusts adaptively template by the Gabor wavelet. The tracker has the ability to handle the bandwidth matrix and the target angle. Experiments with several real worlds' sequences indicate our new method's capability to adapt to any combinations of the target's rotation, zoom and translation. With better description of the object it achieves much better precision.

Published in:

Mechatronics and Automation, 2007. ICMA 2007. International Conference on

Date of Conference:

5-8 Aug. 2007