TY  - JOUR
AU  - Fadi Dornaika
AU  - Bogdan Raducanu
PY  - 2009//
TI  - Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application
T2  - TSMCB
JO  - IEEE Transactions on Systems, Man and Cybernetics part B
SP  - 935–944
VL  - 39
IS  - 4
N2  - Recently, we have proposed a real-time tracker that simultaneously tracks the 3-D head pose and facial actions in monocular video sequences that can be provided by low quality cameras. This paper has two main contributions. First, we propose an automatic 3-D face pose initialization scheme for the real-time tracker by adopting a 2-D face detector and an eigenface system. Second, we use the proposed methods-the initialization and tracking-for enhancing the human-machine interaction functionality of an AIBO robot. More precisely, we show how the orientation of the robot's camera (or any active vision system) can be controlled through the estimation of the user's head pose. Applications based on head-pose imitation such as telepresence, virtual reality, and video games can directly exploit the proposed techniques. Experiments on real videos confirm the robustness and usefulness of the proposed methods.
UR  - http://dx.doi.org/10.1109/TSMCB.2008.2009566
N1  - OR;MV
ID  - Fadi Dornaika2009
ER  -