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3-D Head Pose Estimation in Monocular Video Sequences Using Deformable Surfaces and Radial Basis Functions

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3 Author(s)
Michail Krinidis ; Dept. of Inf., Aristotle Univ. of Thes-saloniki, Thessaloniki ; Nikos Nikolaidis ; Ioannis Pitas

This paper presents a novel approach for estimating 3-D head pose in single-view video sequences. Following initialization by a face detector, a tracking technique that utilizes a 3-D deformable surface model to approximate the facial image intensity is used to track the face in the video sequence. Head pose estimation is performed by using a feature vector which is a byproduct of the equations that govern the deformation of the surface model used in the tracking. The afore-mentioned vector is used as input in a radial basis function interpolation network in order to estimate the 3-D head pose. The proposed method was applied to IDIAP head pose estimation database. The obtained results show that the method can estimate the head direction vector with very good accuracy.

Published in:

IEEE Transactions on Circuits and Systems for Video Technology  (Volume:19 ,  Issue: 2 )