DocumentCode
2123751
Title
Gesture recognition of head motion using range images
Author
Umeda, Kazunori ; Suzuki, Norihito
Author_Institution
Fac. of Sci. & Eng., Chuo Univ., Tokyo, Japan
Volume
3
fYear
1996
fDate
4-8 Nov 1996
Firstpage
1594
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IROS.1996.569025
Filename
569025
Link To Document