By Topic

Real time tracking of multiple persons by Kalman filtering and face pursuit for multimedia applications

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

3 Author(s)
Girondel, V. ; Lab. des Images et des Signaux, Inst. Nat. Polytechnique de Grenoble, Saint Martin d''Heres, France ; Caplier, A. ; Bonnaud, L.

We present an algorithm that can track multiple persons and their faces simultaneously in a video sequence, even if they are completely occluded from the camera's point of view. The algorithm is based on the detection and tracking of person masks and their faces. Face localization uses skin detection based on color information with an adaptive thresholding. In order to handle occlusions, a Kalman filter is defined for each person that allows the prediction of the person bounding box, of the face bounding box and of its speed. In case of incomplete measurements (for instance, in case of partial occlusion), a partial Kalman filtering is done. Several results show the efficiency of this method. This algorithm allows real time processing.

Published in:

Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on

Date of Conference:

28-30 March 2004