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JRM Vol.22 No.3 pp. 262-272
doi: 10.20965/jrm.2010.p0262
(2010)

Paper:

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Skin Color Registration Using Recognition of Waving Hands

Kota Irie*,***, Masahito Takahashi*, Kenji Terabayashi**,***,
Hidetoshi Ogishima**, and Kazunori Umeda**,***

*Graduate School of Science and Engineering, Chuo University

**Faculty of Science and Engineering, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551, Japan

***CREST Program, Japan Science and Technology Agency (JST)

Received:
September 7, 2009
Accepted:
February 1, 2010
Published:
June 20, 2010
Creative Commons License
Keywords:
image processing, gesture recognition, color extraction, intelligent room, hand waving
Abstract
This paper proposes skin color registration using the recognition of waving hands. In order to recognize hand gestures from images, skin colors are useful information. The proposed method can register skin colors simply and quickly because it uses just a few waves of the hand. The method consists of 2 steps. First, the regions of the waving hands are extracted from low-resolution images without using color information. Second, the color values of the extracted regions are classified into background colors and hand colors depending on time series of color images. The color information classified as hand colors is registered as skin colors. The proposed method is robust against lighting conditions and individual differences in skin color, because the skin color is registered as an adapted skin color in each case. Several experiments are conducted to demonstrate the effectiveness of the proposed method.
Cite this article as:
K. Irie, M. Takahashi, K. Terabayashi, H. Ogishima, and K. Umeda, “Skin Color Registration Using Recognition of Waving Hands,” J. Robot. Mechatron., Vol.22 No.3, pp. 262-272, 2010.
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