Journal of the Korean Society for Industrial and Applied Mathematics

Korean Society for Industrial and Applied Mathematics (한국산업응용수학회)
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AUTOMATIC MOTION DETECTION USING FALSE BACKGROUND ELIMINATION

  • Seo, Jin Keun (DEPARTMENT OF MATHEMATICS, YONSEI UNIVERSITY) ;
  • Lee, Sukho (DIVISION OF COMPUTER INFORMATION ENGINEERING, DONGSEO UNIVERSITY)
  • Received : 2012.09.14
  • Accepted : 2013.01.17
  • Published : 2013.03.25
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Abstract

This work deals with automatic motion detection for with surveillance tracking that aims to provide high-lighting movable objects which is discriminated from moving backgrounds such as moving trees, etc. For this aim, we perform a false background region detection together with an initial foreground detection. The false background detection detects the moving backgrounds, which become eliminated from the initial foreground detection. This false background detection is done by performing the bimodal segmentation on a deformed image, which is constructed using the information of the dominant colors in the background.

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References

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