Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Individual Pig Detection using Fast Region-based Convolution Neural Network

고속 영역기반 컨볼루션 신경망을 이용한 개별 돼지의 탐지

  • Choi, Jangmin (Dept. of Computer Convergence Software, Korea University) ;
  • Lee, Jonguk (Dept. of Computer Convergence Software, Korea University) ;
  • Chung, Yongwha (Dept. of Computer Convergence Software, Korea University) ;
  • Park, Daihee (Dept. of Computer Convergence Software, Korea University)
  • Received : 2017.01.11
  • Accepted : 2017.01.31
  • Published : 2017.02.28
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Abstract

Abnormal situation caused by aggressive behavior of pigs adversely affects the growth of pigs, and comes with an economic loss in intensive pigsties. Therefore, IT-based video surveillance system is needed to monitor the abnormal situations in pigsty continuously in order to minimize the economic demage. Recently, some advances have been made in pig monitoring; however, detecting each pig is still challenging problem. In this paper, we propose a new color image-based monitoring system for the detection of the individual pig using a fast region-based convolution neural network with consideration of detecting touching pigs in a crowed pigsty. The experimental results with the color images obtained from a pig farm located in Sejong city illustrate the efficiency of the proposed method.

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References

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