Research on SVM-Based Intelligent Traffic Target Recognition Algorithm

Li Ping Wang; Da Chun Sun

doi:10.4028/www.scientific.net/AMM.556-562.2981

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Research on SVM-Based Intelligent Traffic Target...

Research on SVM-Based Intelligent Traffic Target Recognition Algorithm

Abstract:

with the rapid development of intelligent mathematics and artificial intelligence, intelligent target recognition technology has become the new direction of the target recognition research and development. The Traffic Target Recognition is one of the intelligent target recognition technology applications in the transport field. It is one of the key issues of intelligent traffic analysis and a powerful guarantee of traffic system security. It has far-reaching theoretical and practical application value. According to some research, the support vector machine method shows better ability to adapt and promote than traditional classification methods and obtains better result in image recognition. This paper presents an intelligent transportation target recognition method based on support vector machine (SVM). Experimental results show that the target recognition method has strong classification and identification capability.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2981-2985

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2981

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Online since:

May 2014

Authors:

Li Ping Wang*, Da Chun Sun

Keywords:

Feature Vector, SVM, Target Identification, Traffic Objectives

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* - Corresponding Author

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