Automatic Detection of Operator without Safety Helmet

Yu Fan; Kang Xiong Yu; Xiao Qing Tang; He Ping Zheng; Li Yu; Xia Zhou

doi:10.4028/www.scientific.net/AMM.602-605.1670

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Automatic Detection of Operator without Safety...

Automatic Detection of Operator without Safety Helmet

Abstract:

It is very important to protect the safety of the human head with helmet. Traditional detection for helmet wearing mainly relies on manual approach, which was more subjective that a missing condition may happen caused by fatigue and other factors. Owing to this situation, this paper proposed a method for automatic detection of operator without helmet in real-time. Firstly, Gaussian model for background subtraction is used to detect moving target. Secondly, HOG feature extraction can be used to classify the human target from vehicle. Then, a color feature extraction algorithm is proposed for helmet recognition. The algorithm has been applied into the real time monitoring system and verified with higher accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1670-1674

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1670

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Online since:

August 2014

Authors:

Yu Fan*, Kang Xiong Yu, Xiao Qing Tang, He Ping Zheng, Li Yu, Xia Zhou

Keywords:

Color Feature, Helmets, HOG, Target Detection

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* - Corresponding Author

References

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