A Method for Peak Position Estimation of Cross Correlation Functions Using Neural Network

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  • KATAYAMA Erika
    Department of Electrical and Electronic Engineering, Ehime University
  • YAMADA Yoshio
    Department of Electrical and Electronic Engineering, Ehime University
  • TSUZUKI Shinji
    Department of Electrical and Electronic Engineering, Ehime University

Bibliographic Information

Other Title
  • ニューラルネットワークを用いた相互相関関数のピーク位置推定手法
  • ニューラル ネットワーク オ モチイタ ソウゴ ソウカン カンスウ ノ ピーク イチ スイテイ シュホウ

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Description

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.

Journal

  • ITE Technical Report

    ITE Technical Report 25.22 (0), 21-24, 2001

    The Institute of Image Information and Television Engineers

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