Real-time 3D Head Tracking and Head Gesture Recognition

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 al...

Full description

Saved in:
Bibliographic Details
Published inRO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication pp. 169 - 172
Main Authors Wooju Ryu, Daijin Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2007
Subjects
Engine cylinders
Head
Human robot interaction
Intelligent robots
Lighting
Robustness
Shape
Solid modeling
Tracking
Online AccessGet full text

Cover

More Information
Summary: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. Experimental results show that the proposed head tracking method outperforms the other tracking method and it tracks the head successfully even if the head moves fast under the rapidly changing poses and illuminations. The proposed head tracking method has a versatile applications such as the head gesture recognition for the human robot interaction, the head gesture TV remote controller for the handicapped people, and the drawing tool by the head movement for the entertainment.
ISBN:9781424416349
1424416345
ISSN:1944-9445
1944-9437
DOI:10.1109/ROMAN.2007.4415074