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Model Based Facial Pose Tracking Using a Particle Filter

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1 Author(s)
Kwolek, B. ; Rzeszow Univ. of Technol.

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

Published in:

Geometric Modeling and Imaging--New Trends, 2006

Date of Conference:

16-18 Aug. 1993