Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

Research and implementation of a real time approach to lip detection in video sequences

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

4 Author(s)
Jian-Ming Zhang ; Sch. of Comput., JiangSu Univ., Zhenjiang, China ; Wang Liang-Min ; De-Jiao Niu ; Yong-Zhao Zhan

Locating the lip in video sequences is one of the primary steps of the automatic lipreading system. In this paper a new approach to lip detection, which is based on Red Exclusion and Fisher transform, is presented. In this approach, firstly, we locate face region with skin-color model and motion correlation, then trisect the face image and take into account the lowest part, in which the lip lies, for the next processing. Secondly, we exclude R-component in RGB color space, then use G-component and B-component as the Fisher transform vector to enhance the lip image. Finally, in the enhanced image, we adaptively set the threshold to separate the lip color and the skin color in the light of the normal distribution of the gray value histogram. The experimental results showed that this fast approach is very efficient in detecting the whole lip and not affected by illuminant and different speakers.

Published in:

Machine Learning and Cybernetics, 2003 International Conference on  (Volume:5 )

Date of Conference:

2-5 Nov. 2003