Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Effective Automatic Foreground Motion Detection Using the Statistic Information of Background

  • Kim, Hyung-Hoon (Dept. of Biomedical Systems, Kwangju Women's University) ;
  • Cho, Jeong-Ran (Dept. of Biomedical Systems, Kwangju Women's University)
  • Received : 2015.08.24
  • Accepted : 2015.09.07
  • Published : 2015.09.30
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Abstract

In this paper, we proposed and implemented the effective automatic foreground motion detection algorithm that detect the foreground motion by analyzing the digital video data that captured by the network camera. We classified the background as moving background, fixed background and normal background based on the standard deviation of background and used it to detect the foreground motion. According to the result of experiment, our algorithm decreased the fault detection of the moving background and increased the accuracy of the foreground motion detection. Also it could extract foreground more exactly by using the statistic information of background in the phase of our foreground extraction.

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References

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