• Title/Summary/Keyword: Automation Target Recognition

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A Study on Auto Inspection System of Cross Coil Movement Using Machine Vision (머신비젼을 이용한 Cross Coil Movement 자동검사 시스템에 관한 연구)

  • Lee, Chul-Hun;Seol, Sung-Wook;Joo, Jae-Heum;Lee, Sang-Chan;Nam, Ki-Gon
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.11
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    • pp.79-88
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    • 1999
  • In this paper we address the tracking method which tracks only target object in image sequence including moving object. We use a contour tracking algorithm based on intensity and motion boundaries. The motion of the moving object contour in the image is assumed to be well describable by an affine motion model with a translation, a change in scale and a rotation. The moving object contour is represented by B-spline, the position and motion of which is estimated along the image sequence. we use pattern recognition to identify target object. In order to use linear Kalman Filters we decompose the estimation process into two filters. One is estimating the affine motion parameters and the other the shape of moving object contour. In some experiments with dial plate we show that this method enables us to obtain the robust motion estimates and tracking trajectories even in case of including obstructive object.

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