ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
25.22
Session ID : MIP2001-56
Conference information
A Method for Peak Position Estimation of Cross Correlation Functions Using Neural Network
Erika KATAYAMAYoshio YAMADAShinji TSUZUKI
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Abstract
The continuous template matching method have been proposed in the previous papers in order to realize the precision subpixel displacement detection between subsequent frames of motion pictures. In the proposed method, a successive approximation algorithm adopting partial derivatives was used for maximizing the interpolated cross correlation functions. The authors suggested that using partial derivatives leads to some weakness in the search of the maxima. In this paper, a nueral network based maximization (peak detection) algorithm is proposed in order to resolve the above mentioned fragileness.
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© 2001 The Institute of Image Information and Television Engineers
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