PT Journal
AU Fadi Dornaika
   Bogdan Raducanu
TI Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application
SO IEEE Transactions on Systems, Man and Cybernetics part B
JI TSMCB
PY 2009
BP 935–944
VL 39
IS 4
DI 10.1109/TSMCB.2008.2009566
AB 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.
ER