Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

An efficient real-time system for active video conferencing

Authors
Leila Sabeti 0, Q. M. Jonathan Wu, Jason Z. Zhang
Corresponding Author
Leila Sabeti
0ECE Department, University of Windsor
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.71How to use a DOI?
Keywords
Head tracking, Kalman filtering, video conferencing
Abstract
This paper describes a new approach for implementation of an efficient real-time system proper for using in active video conferencing sessions. A camera tracks presenter’s head and its movements and orientations in an unconstrained environment automatically by its pan and tilt actions. Head or face is modeled by an ellipse using least square ellipse fitting algorithm. Linear Kalman filter is employed effectively, in addition to a measurement model based on bimodal color information. Experimental results demonstrate the effectiveness of the proposed system in overcoming challenges that trackers are facing in real world environments.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.71How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Leila Sabeti
AU  - Q. M. Jonathan Wu
AU  - Jason Z. Zhang
PY  - 2006/10
DA  - 2006/10
TI  - An efficient real-time system for active video conferencing
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.71
DO  - https://doi.org/10.2991/jcis.2006.71
ID  - Sabeti2006/10
ER  -