The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Area Classification, Identification and Tracking for Multiple Moving Objects with the Similar Colors

유사한 색상을 지닌 다수의 이동 물체 영역 분류 및 식별과 추적

  • Lee, Jung Sik (Dept. of Control and Robotics Engineering, Kunsan National University) ;
  • Joo, Yung Hoon (Dept. of Control and Robotics Engineering, Kunsan National University)
  • Received : 2015.11.27
  • Accepted : 2016.01.27
  • Published : 2016.03.01
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Abstract

This paper presents the area classification, identification, and tracking for multiple moving objects with the similar colors. To do this, first, we use the GMM(Gaussian Mixture Model)-based background modeling method to detect the moving objects. Second, we propose the use of the binary and morphology of image in order to eliminate the shadow and noise in case of detection of the moving object. Third, we recognize ROI(region of interest) of the moving object through labeling method. And, we propose the area classification method to remove the background from the detected moving objects and the novel method for identifying the classified moving area. Also, we propose the method for tracking the identified moving object using Kalman filter. To the end, we propose the effective tracking method when detecting the multiple objects with the similar colors. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.

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References

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