An Intelligent Recognition Algorithm on Traffic Safety States

Wei Zhi Wang; Bing Han Liu

doi:10.4028/www.scientific.net/AMM.433-435.1388

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435An Intelligent Recognition Algorithm on Traffic...

An Intelligent Recognition Algorithm on Traffic Safety States

Abstract:

Traffic safety states can be divided into safe and dangerous according to the attributes of video images of traffic safety states. We propose a synergic neural network recognition model based on prototype pattern by analyzing various methods on intelligent video processing. Our proposed method realizes real time classification of traffic safety states with high accuracy of traffic safety states recognition. The experimental results validate that the accuracy of classification of proposed method arrives at 87.5%, increased by 16.2% compared to traditional neural network methods.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

1388-1391

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.1388

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Online since:

October 2013

Authors:

Wei Zhi Wang, Bing Han Liu*

Keywords:

Automatic Recognition, Intelligent Analysis, Traffic Safety State

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* - Corresponding Author

References

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Google Scholar