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

The Korean Institute of Electrical Engineers (대한전기학회)
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Livestock Anti-theft System Using Morphological Feature-based Model

형태학적 특징 기반 모델을 이용한 가축 도난 판단 시스템

  • Kim, Jun Hyoung (Dept. of Control and Robotics Engineering, Kunsan National University) ;
  • Joo, Yung Hoon (Dept. of Control and Robotics Engineering, Kunsan National University)
  • Received : 2017.12.15
  • Accepted : 2018.03.20
  • Published : 2018.04.01
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Abstract

In this paper, we propose a classification and theft detection system for human and livestock for various moving objects in a barn. To do this, first, we extract the moving objects using the GMM method. Second, the noise generated when extracting the moving object is removed, and the moving object is recognized through the labeling method. And we propose a method to classify human and livestock using model formation and color for the unique form of the detected moving object. In addition, we propose a method of tracking and overlapping the classified moving objects using Kalman filter. Through this overlap determination method, an event notifying a dangerous situation is generated and a theft determination system is constructed. Finally, we demonstrate the feasibility and applicability of the proposed system through several experiments.

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References

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