Recognition of Vehicles on Geometric Morphology

Guo Feng Qin; Yu Sun; Qi Yan Li

doi:10.4028/www.scientific.net/AMR.217-218.27

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 217-218Recognition of Vehicles on Geometric Morphology

Recognition of Vehicles on Geometric Morphology

Abstract:

Detection of vehicles plays an important role in the area of the modern intelligent traffic management. And the pattern recognition is a hot issue in the area of computer vision. This article introduces an Automobile Automatic Recognition System based on image. It begins with the structures of the system. Then detailed methods for implementation are discussed. This system take use of a camera to get traffic images, then after image pretreatment and segmentation, do the works of feature extraction, template matching and pattern recognition, to identify different models and get vehicular traffic statistics. Finally, the implementation of the system is introduced. The algorithms of recognized process were verified in this application case.

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Periodical:

Advanced Materials Research (Volumes 217-218)

Pages:

27-32

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.217-218.27

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Online since:

March 2011

Authors:

Guo Feng Qin, Yu Sun, Qi Yan Li

Keywords:

BP Neural Network (BPNN), Feature Extraction, Geometric Morphology, Image Recognition, Image Segmentation

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