Hand extraction using geometric moments based on active skin color model

Author

Tan, Wenjun ; Wu, Chengdong ; Zhao, Shuying ; Chen, Shuo

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

Volume

4

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

468

Lastpage

471

Abstract

The hand gesture is the most common and natural way for human daily interaction. In this paper, we propose a novel approach to hand extraction based on active skin color model. The skin color model is first built by the non-linear transformation in YCbCr color space. Then the obtained model is applied to hand segmentation. Hand feature is extracted by calculating the seven moments of hand segmentation image. The experimental results demonstrate the feasibility of the proposed method.

Keywords

feature extraction; image colour analysis; image segmentation; YCbCr color space; active skin color model; geometric moments; hand extraction; hand feature extraction; hand gesture; hand segmentation image; human daily interaction; nonlinear transformation; Cameras; Data mining; Feature extraction; Fingers; Humans; Image segmentation; Magnetic sensors; Robust stability; Skin; Solid modeling; YCbCr; geometric moments; hand gesture; skin color model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5357624

Filename

5357624