Title :
Gesture recognition of head motion using range images
Author :
Umeda, Kazunori ; Suzuki, Norihito
Author_Institution :
Fac. of Sci. & Eng., Chuo Univ., Tokyo, Japan
Abstract :
Gesture recognition using images is recently studied as a technology of human friendly man-machine interface. In this paper recognition of 3D gesture by using range images is discussed. Two methods for recognizing head motion from a sequence of range images are proposed One method uses differential range images. Vertically/horizontally weighted averages of the difference values are utilized and `Yes´ motion is robustly identified. The other method detects and tracks nose position. `Yes´/`No´ motions are identified by the vertical/horizontal amplitude of vibration. Experiments to recognize a person´s gesture using a range sensor system are performed to show the effectiveness of the methods
Keywords :
image recognition; image sequences; motion estimation; user interfaces; 3D gesture; differential range images; gesture recognition; head motion; horizontally weighted averages; human friendly man-machine interface; nose position; range image sequence; range images; vertically weighted averages; vibration amplitude; Costs; Data mining; Feature extraction; Humans; Image recognition; Magnetic heads; Nose; Robot sensing systems; Target recognition; User interfaces;
Conference_Titel :
Intelligent Robots and Systems '96, IROS 96, Proceedings of the 1996 IEEE/RSJ International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-7803-3213-X
DOI :
10.1109/IROS.1996.569025