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CLEAR
2006
Springer

Head Pose Detection Based on Fusion of Multiple Viewpoint Information

9 years 10 months ago
Head Pose Detection Based on Fusion of Multiple Viewpoint Information
Abstract. This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multiple calibrated cameras. Spatial redundancy is exploited and the head in the scene is detected and geometrically approximated by an ellipsoid. Skin patches from each detected head are located in each camera view. Data fusion is performed by backprojecting skin patches from single images onto the estimated 3D head model, thus providing a synthetic reconstruction of the head appearance. Finally, these data are processed in a pattern analysis framework thus giving an estimation of face orientation. Tracking over time is performed by Kalman filtering. Results of the proposed algorithm are provided in the SmartRoom scenario of the CLEAR Evaluation.
Cristian Canton-Ferrer, Josep R. Casas, Montse Par
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CLEAR
Authors Cristian Canton-Ferrer, Josep R. Casas, Montse Pardàs
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