Title :
Gesture recognition using character recognition techniques on two-dimensional eigenspace
Author :
Ohno, Hiroshi ; Yamamoto, Masanobu
Author_Institution :
Dept. of Inf. Eng., Niigata Univ., Japan
Abstract :
This paper describes a novel method for gesture recognition using character recognition techniques on two-dimensional eigenspace. An image-based approach can capture human body poses in 3D motion from multiple image sequences. The sequence of poses can be reduced into a trajectory on the two-dimensional eigenspace with preserving the main features in gesture, so that the gesture recognition equals the character recognition. Experiments for the gesture recognition using some character recognition techniques show our method is useful
Keywords :
character recognition; eigenvalues and eigenfunctions; gesture recognition; image sequences; motion estimation; 3D motion; character recognition; gesture recognition; human body poses; image-based approach; multiple image sequences; two-dimensional eigenspace; Application software; Biological system modeling; Cameras; Character recognition; Handicapped aids; Hidden Markov models; Humans; Image sequences; Joints; Motion measurement;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791211
