Title :
Description and recognition of human gestures based on the transition of curvature from motion images
Author :
Nishikawa, Atsushi ; Ohnisi, A. ; Miyazaki, Fumio
Author_Institution :
Dept. of Syst. & Human Sci., Osaka Univ., Japan
Abstract :
A new technique for description and recognition of human gestures is presented. First, a method is proposed to represent gestures as an ordered sequence of simple basic motions. It is based on the rate of change of gesture motion direction (referred to as “curvature”) that is estimated using optical flow from monocular motion images. Then, proceeding from the method, a real-time gesture recognition system is presented that can be easily given the gesture model and achieve high recognition rates for unspecific gesture performers. The main difference between the proposed method and previous ones is the fact that the authors´ method does not require any preprocessing related to generation of the gesture model such as observation and/or analysis of specific performers´ gestures. Finally, the real-time implementation of the proposed algorithm for manipulating a vehicle by gesture motion is described to demonstrate the utility of the proposed method
Keywords :
image recognition; image sequences; motion estimation; real-time systems; algorithm; curvature transition; gesture model; gesture motion direction rate change; human gesture description; human gesture recognition; monocular motion images; motion images; optical flow; ordered motion sequence; real-time gesture recognition system; vehicle manipulation; Humans; Image recognition;
Conference_Titel :
Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
Conference_Location :
Nara
Print_ISBN :
0-8186-8344-9
DOI :
10.1109/AFGR.1998.671006