Simultaneous tracking of head poses in a panoramic view
- 11 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3 (10514651) , 722-725
- https://doi.org/10.1109/icpr.2000.903646
Abstract
In this paper we present an approach to simultaneously estimate gaze directions of multiple people in the view of a panoramic camera. Human faces are located and tracked using a probabilistic skin-color model and motion detection. Neural networks are used to estimate head poses of the detected faces. With this approach, it is possible to simultaneously track the locations of multiple people around a meeting table and estimate their gaze directions using only a panoramic camera. We have achieved an accuracy of 9 degrees for head pan estimation and 6 degrees for tilt estimation for a multi-user system.Keywords
This publication has 7 references indexed in Scilit:
- A model-based gaze tracking systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A real-time face trackerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A theory of catadioptric image formationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Parametrized structure from motion for 3D adaptive feedback tracking of facesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Modeling focus of attention for meeting indexingPublished by Association for Computing Machinery (ACM) ,1999
- Recognition of human head orientation based on artificial neural networksIEEE Transactions on Neural Networks, 1998
- View-based and modular eigenspaces for face recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994