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

The Korean Institute of Electrical Engineers (대한전기학회)
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Livestock Theft Detection System Using Skeleton Feature and Color Similarity

골격 특징 및 색상 유사도를 이용한 가축 도난 감지 시스템

  • Kim, Jun Hyoung (School of IT Information and Control Engineering, Kunsan National University) ;
  • Joo, Yung Hoon (IT Information and Control Engineering, Kunsan National University)
  • Received : 2018.02.14
  • Accepted : 2018.03.30
  • Published : 2018.04.01
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Abstract

In this paper, we propose a livestock theft detection system through moving object classification and tracking method. To do this, first, we extract moving objects using GMM(Gaussian Mixture Model) and RGB background modeling method. Second, it utilizes a morphology technique to remove shadows and noise, and recognizes moving objects through labeling. Third, the recognized moving objects are classified into human and livestock using skeletal features and color similarity judgment. Fourth, for the classified moving objects, CAM (Continuously Adaptive Meanshift) Shift and Kalman Filter are used to perform tracking and overlapping judgment, and risk is judged to generate a notification. Finally, several experiments demonstrate the feasibility and applicability of the proposed method.

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