By Topic

Face tracking using a region-based mean-shift algorithm with adaptive object and background models

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

2 Author(s)
Veronica Vilaplana ; Technical University of Catalonia (UPC), Barcelona, Spain ; David Varas

This paper proposes a technique for face tracking based on the mean shift algorithm and the segmentation of the images into regions homogeneous in color. Object and background are explicitly modeled and updated through the tracking process. Color and shape information are used to define with precision the face contours, providing a mechanism to adapt the tracker to variations in object scale and to illumination and background changes.

Published in:

2009 10th Workshop on Image Analysis for Multimedia Interactive Services

Date of Conference:

6-8 May 2009