IEEE Transactions on Pattern Analysis and Machine Intelligence
A Mathematical Introduction to Robotic Manipulation
A Mathematical Introduction to Robotic Manipulation
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Motion Regularization for Model-Based Head Tracking
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Face detection with the modified census transform
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
ICSR'11 Proceedings of the Third international conference on Social Robotics
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This paper proposes a fast 3D head tracking method that is working robustly under a variety of difficult conditions such as the rapidly changing pose, head movement and illumination. 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. Additionally, to make it more robust, we use a reregistration technique that takes the stored reference image as the template when the registration error becomes great. 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.