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Robust head pose estimation by fusing time-of-flight depth and color

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2 Author(s)
Bleiweiss, A. ; Sch. of Comput. Sci., Hebrew Univ. of Jerusalem, Jerusalem, Israel ; Werman, M.

We present a new solution for real-time head pose estimation. The key to our method is a model-based approach based on the fusion of color and time-of-flight depth data. Our method has several advantages over existing head-pose estimation solutions. It requires no initial setup or knowledge of a pre-built model or training data. The use of additional depth data leads to a robust solution, while maintaining real-time performance. The method outperforms the state-of-the art in several experiments using extreme situations such as sudden changes in lighting, large rotations, and fast motion.

Published in:

Multimedia Signal Processing (MMSP), 2010 IEEE International Workshop on

Date of Conference:

4-6 Oct. 2010