By Topic

Multimodal real-time focus of attention estimation in SmartRooms

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

5 Author(s)
Canton-Ferrer, C. ; Tech. Univ. of Catalonia, Barcelona ; Segura, C. ; Pardas, M. ; Casas, J.R.
more authors

This paper presents an overview of our work on real-time multimodal tracking focus of attention of multiple persons in a SmartRoom scenario. Redundancy among cameras is exploited to generate a 3D discrete reconstruction of the space. This information is fed to a novel low complexity Monte Carlo based tracking scheme. Estimated locations of people in the room are used to automatically determine their head positions. Head orientation of every person is computed using video and audio separately and then a multimodal estimation is produced by combining data at feature level employing a decentralized Kalman filter. Finally, participantspsila focus attention is estimated by means of two geometric descriptors: the attention cone and the attention map. Experiments conducted over annotated databases yield quantitative results proving the effectiveness of the presented approach.

Published in:

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Date of Conference:

23-28 June 2008