An efficient real-time system for active video conferencing
Leila Sabeti 0, Q. M. Jonathan Wu, Jason Z. Zhang
0ECE Department, University of Windsor
Available Online October 2006.
- https://doi.org/10.2991/jcis.2006.71How to use a DOI?
- Head tracking, Kalman filtering, video conferencing
- 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.
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 -