A Method of Hand Signal Segmentation Based on YCbCr Space and Background Difference

Duan Hong; Yang Luo

doi:10.4028/www.scientific.net/AMM.380-384.4112

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384A Method of Hand Signal Segmentation Based on...

A Method of Hand Signal Segmentation Based on YCbCr Space and Background Difference

Abstract:

This paper proposes a method of segmentation of hand signal, based on the skin color model in YCbCr space and background subtraction under complex background. This paper discussed the reasonable threshold selection of Cb, Cr in the skin color model and the segmentation selection of skin area combining the background segmentation. Finally, an inequality of hands outline feature is proposed to complete the division processing of the palm part of the area of skin. Experiments show the accurate segmentation of gesture under a complex static background.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

4112-4115

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.4112

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Online since:

August 2013

Authors:

Duan Hong, Yang Luo

Keywords:

Background Difference, Hand Signal Segmentation, YCbCr Space

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