Speaker Detection Method for Autonomous Robot In Complex Communication Environment, Based on Image Processing
In order to provide a better man-machine communication system, we hope the computer or the robot can understand and simulate humans command. To solve this problem, we need to enable the robot to recognize the speaker. However, in the realistic scene, the factors of the complex environment, such as the noise, may course some difficulties to recognize the commands. So imitating the performance of human, we try to use the eyes of the robot to solve the problem. In this research, we propose a new speaker detection method based on image processing. The robot might find and identified all the possible speakers around it, by detecting the recognizing the peoples faces. It might also find out the speaker who is speaking, by judging whether the possible speakers mouth are acting. Using eye cameras and a omni-directional camera, we developed a system and some experiments were conducted to verify this new system.
speaker detection complex communication environment face detection face verification mouth action judgment
Jia Ma Motoyuki Suzuki Fuji Ren
Graduate School of Advanced Science Technology Education,The University of Tokushima,Ren Lab.,Tokush Institute of Technology and Science,The University of Tokushima,Ren Lab.,Tokushima,770-8506 Japan Institute of Technology and Science,The University of Tokushima,Ren Lab.,Tokushima,770-8506 Japan;Sc
国际会议
2008高等智能国际会议(2008 International Conference on Advanced Intelligence)
北京
英文
2008-10-18（万方平台首次上网日期，不代表论文的发表时间）