Robust 3D head tracking and its applications

Authors:
Wooju Ryu;Daijin Kim
Affiliations:
Dept. of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea;Dept. of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

Citing 7
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Abstract

The head tracking is a challenging work and a useful application in the field of computer vision. This paper proposes a fast 3D head tracking method that is working robustly under a variety of difficult conditions. First, we obtain the pose robustness by using the 3D cylindrical head model (CHM) and dynamic template. Second, we also obtain the robustness about the fast head movement by using the dynamic template. Third, we obtain the illumination robustness by modeling the illumination basis vectors and by adding them to the previous input image to adapt the current input image. Experimental results show that the proposed head tracking method outperforms the other tracking method using the fixed and dynamic template in terms of the small pose error and the higher successful tracking rate and it tracks the head successfully even if the head moves fast under the rapidly changing poses and illuminations in a speed of 10-15 frames/sec. The proposed head tracking method has a versatile applications such as a head gesture TV remote controller for the handicapped people and a drawing tool by the head movement for the entertainment.