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.
Detect the rail track flaw by estimating the camera shaking
01.10.2014
1552086 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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