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http://dx.doi.org/10.9723/jksiis.2015.20.2.057

Improving the Processing Speed and Robustness of Face Detection for a Psychological Robot Application  

Ryu, Jeong Tak (대구대학교 전자공학과)
Yang, Jeen Mo (대구대학교 전자공학과)
Choi, Young Sook (대구대학교 전자공학과)
Park, Se Hyun (대구대학교 멀티미디어공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.20, no.2, 2015 , pp. 57-63 More about this Journal
Abstract
Compared to other emotion recognition technology, facial expression recognition technology has the merit of non-contact, non-enforceable and convenience. In order to apply to a psychological robot, vision technology must be able to quickly and accurately extract the face region in the previous step of facial expression recognition. In this paper, we remove the background from any image using the YCbCr skin color technology, and use Haar-like Feature technology for robust face detection. We got the result of improved processing speed and robust face detection by removing the background from the input image.
Keywords
YCbCr skin color; Haar-like Feature; facial expression recognition technology; psychological robot; robust face detection;
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Times Cited By KSCI : 3  (Citation Analysis)
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