Model Based Facial Pose Tracking Using a Particle Filter

Authors:
Bogdan Kwolek
Affiliations:
Rzeszow University of Technology, Poland
Venue:
GMAI '06 Proceedings of the conference on Geometric Modeling and Imaging: New Trends
Year:
2006

Citing 0
Cited 2

3-D head pose estimation in monocular video sequences using deformable surfaces and radial basis functions

IEEE Transactions on Circuits and Systems for Video Technology
Fusing bio-inspired vision data for simplified high level scene interpretation: Application to face motion analysis

Computer Vision and Image Understanding

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Abstract

This paper presents a model-based technique for monocular tracking of the head pose using a non-calibrated camera. We use texture-mapped face images through the 3D head model as the data representation. The mapped data are compared to the model data via a similarity metric that expresses the likeness between the rendered and the reference images. The tracking is realized using a particle filter. In observation model we utilize rectangle features as the primary cue. The potential of our approach is demonstrated by tracking of the head pose on real videos.