Lips Detection Based on Skin Model and Adaboost Algorithm in the Human-Wheelchair Interaction

Author

Hu, Zhang-fang ; Ding, Yu-jiao

Author_Institution

Sch. of Optoelectron. Eng. Chongqing, Univ. of Posts & Telecommun., Chongqing, China

Volume

3

fYear

2011

fDate

24-25 Sept. 2011

Firstpage

169

Lastpage

172

Abstract

In order to improve the real-time of system and realize the harmonious human-machine interaction, we use the method which combines color segment and Adaboost to detect lips. Firstly, It segment the face region with skin model. Then scan the face region by Adaboost algorithm to detect lip. Through confirm the lips window´s position in the entire image, to control the intelligent wheelchair´s movement. The experiment show that this method could reduce the detection time greatly and improve the detection precision.

Keywords

feature extraction; human computer interaction; image colour analysis; image segmentation; Adaboost algorithm; color segment; face region; human-machine interaction; human-wheelchair interaction; intelligent wheelchair movement; lips detection; skin model; Classification algorithms; Face; Feature extraction; Image color analysis; Image segmentation; Lips; Skin; Adaboost algorithm; intelligent wheelchair; lips detection; skin model;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on

Conference_Location

Nanjing, Jiangsu

Print_ISBN

978-1-4577-1419-1

Type

conf

DOI

10.1109/ICM.2011.134

Filename

6113611