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Detection of a Moving Object in the Mellin Transform  

박수현 (이화여자대학교 정보통신학과)
이병욱 (이화여자대학교 정보통신학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.2A, 2002 , pp. 157-164 More about this Journal
Abstract
The Mellin Transform is a well-known method to find out transformations between two overlapping images. This paper models a scene with an object moving with different velocities. Also, it analyzes the relationship of the detected correlation peak to the spectrum of the background and an object. Lastly, we investigate the optimal solution of the image registration parameters minimizing the effect of the noise from the Mellin Transform by applying the Wiener filter concept.
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