Human-Livestock Classifier by Using Fuzzy Bayesian Algorithm

퍼지-베이시안을 이용한 인간.가축 분류

  • 오명재 (군산대학교 제어로봇공학과) ;
  • 주영훈 (군산대학교 제어로봇공학과)
  • Received : 2011.07.08
  • Accepted : 2011.09.20
  • Published : 2011.10.01


In this paper, we propose a real-time classifier to distinguish humans from livestock by using the spatial integral. The image-difference method and the Expectation Maximization are used to reduce noises in input image. A histogram analysis based on Simulated Annealing and the fuzzy-Bayesian algorithm are used to classify human and livestock. Finally, the experiment results show the validity of the proposed method.


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