By Topic

Visual focus of attention estimation from head pose posterior probability distributions

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)
Ba, S.O. ; IDIAP Res. Inst., Martigny ; Odobez, J.M.

We address the problem of recognizing the visual focus of attention (VFOA) of meeting participants from their head pose and contextual cues. The main contribution of the paper is the use of a head pose posterior distribution as a representation of the head pose information contained in the image data. This posterior encodes the probabilities of the different head poses given the image data, and constitute therefore a richer representation of the data than the mean or the mode of this distribution, as done in all previous work. These observations are exploited in a joint interaction model of all meeting participants pose observations, VFOAs, speaking status and of environmental contextual cues. Numerical experiments on a public database of 4 meetings of 22 min on average show that this change of representation allows for a 5.4% gain with respect to the standard approach using head pose as observation.

Published in:

Multimedia and Expo, 2008 IEEE International Conference on

Date of Conference:

June 23 2008-April 26 2008