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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    Title :

    Vehicle’s Model Classification Using a Vertical Stereo Camera



    Published in:

    Applied Mechanics and Materials ; 744-746 ; 1960-1964


    Publication date :

    2015-03-23


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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