A Research on Real-Time Hand-Detection Technology Oriented to the Somatic Games

Ren Chen; Hui Li

doi:10.4028/www.scientific.net/AMR.748.999

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 748A Research on Real-Time Hand-Detection Technology...

A Research on Real-Time Hand-Detection Technology Oriented to the Somatic Games

Abstract:

Hand-detection is a key technology to the somatic games. In this paper, we present a real-time hand-detection method based on Adaboost and skin-color characteristic. By processing the video frames with Adaboost classifier, we abstract the target regions which may contain the hand gestures. Then a filter based on skin color is proposed to select the correct regions. The best detection rate reaches above 89% with an acceptable failure rate and misjudgment rate. Experimental results show that this method is a lightweight and rapid approach to implement real-time hand detection in somatic games.

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Periodical:

Advanced Materials Research (Volume 748)

Pages:

999-1002

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.748.999

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Online since:

August 2013

Authors:

Ren Chen, Hui Li

Keywords:

Adaboost, Real-Time Hand-Detection, Skin-Color Characteristic, Somatic Game

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