DocumentCode :
1970398
Title :
Efficient face and gesture recognition techniques for robot control
Author :
Hu, Chao ; Wang, Xiang ; Mandal, Mrinal K. ; Meng, Max ; Li, Donglin
Author_Institution :
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
Volume :
3
fYear :
2003
fDate :
4-7 May 2003
Firstpage :
1757
Abstract :
This paper presents a visual recognition system for interactively controlling a mobile robot. First, the robot identifies the operator by human facial recognition, and then determines the actions analyzing the human hand gestures. For facial recognition, the adaptive region-growing algorithm is proposed to estimate the location of face region. A genetic algorithm is then applied to search for the accurate facial feature positions. For gesture recognition, we use adaptive color segmentation, hand finding and labeling with blocking, morphological filtering, and gesture actions are found by template matching, and skeletonizing. The results show 95% correct recognition ratio compared to less than 90% mentioned in other papers.
Keywords :
adaptive signal processing; face recognition; feature extraction; genetic algorithms; gesture recognition; image segmentation; mobile robots; adaptive color segmentation; adaptive region-growing algorithm; genetic algorithm; gesture recognition technique; human face recognition technique; human hand gesture analysis; interactive mobile robot control; morphological filtering; skeletonizing; template matching; visual recognition system; Adaptive filters; Control systems; Face recognition; Facial features; Genetic algorithms; Humans; Labeling; Matched filters; Mobile robots; Robot control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on
ISSN :
0840-7789
Print_ISBN :
0-7803-7781-8
Type :
conf
DOI :
10.1109/CCECE.2003.1226250
Filename :
1226250
Link To Document :
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