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An optical fiber displacement sensor based on Radial Basis Function neural network is proposed for enhancing accuracy and linear range. A Nearest Neighbor Clustering algorithm suitable for training RBF neural network in optical fiber displacement sensor is studied and implemented. The work method and process of sensor are described. Experimental results show that neural network method has higher precision...
For the superior tracking performance of real-time and robustness obtained with low computational complexity, CAMShift algorithm is of great importance in video tracking. However, itpsilas a semi-automatic tracker, which is in need of judging and recognizing target by manual. In this paper, an automatic tracking system has been designed by the means of combining differencing-frame and CAMShift. Firstly,...
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