In this paper, we present a method of detecting the rail track bends and flaws. Different from the traditional machine-vision based methods which analyze the images of the rail surface, we estimate the shake of the camera — which is caused by the flaw or bend of the rail track — from the video used for railway environment surveillance. We provide both theoretical analysis — based on the theory of optical flow and passive navigation — and the corresponding fast algorithms, i.e. the brightness-pattern-matching code (BPMC) and shaking-type code (STC). Our method uses the surveillance video of the railway environment directly, thus, we do not need extra expensive instruments.


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    Title :

    Detect the rail track flaw by estimating the camera shaking


    Contributors:


    Publication date :

    2014-10-01


    Size :

    1552086 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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