Dynamic Template Tracking System with Application to the Detection of the Railway Spike Defects
This paper presents a novel correlation-based tracking algorithm, which is a generalization of the dynamic template correlation regional tracking (DTCRT) algorithmthe template is dynamic and the correlation is regional, and in particular the target image quality is not always good. The algorithm does not make use of the point-to-point multiplication and then summarizing as the traditional algorithm does. Instead, the DTCRT algorithm introduced. This fact helps to overcome several shortcomings of the point-to-point multiplication and then summarizing. The target is represented by the correlation coefficients. If the correlation coefficient is less than a threshold one can judge then the spike is defected. Since the matching function is a very complex function, the DTCRT algorithm is used to optimize it. Experiments demonstrate the effectiveness, significance and computation efficiency of the proposed railway spike tracking method in real-time identification.