Vehicle’s Model Classification Using a Vertical Stereo Camera

Chi Hak Lee; Jong Pil Ahn; Young Mo Kim

doi:10.4028/www.scientific.net/AMM.744-746.1960

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 744-746Vehicle’s Model Classification Using a Vertical...

Vehicle’s Model Classification Using a Vertical Stereo Camera

Abstract:

This paper proposes a method of vehicle’s model classification based on stereo vision. First, we find features that horizontally separated shape of vehicle are selected because of coming into view well after matching. After extracting a side outline of vehicle using a vertical stereo camera, vehicle is classified with normalized vehicle’s front-side image. As a result of experiment, our method shows an improved 1.62 [%] compared with a method using a vehicle’s front-side image only [6].

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Periodical:

Applied Mechanics and Materials (Volumes 744-746)

Pages:

1960-1964

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.744-746.1960

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Online since:

March 2015

Authors:

Chi Hak Lee, Jong Pil Ahn, Young Mo Kim*

Keywords:

LPR, Stereo Vision, SVM, Vehicle Classification

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* - Corresponding Author

References

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