Journal of the Korean Society for Industrial and Applied Mathematics

  • 제17권1호
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  • Pages.47-54
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  • 2013
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  • 1226-9433(pISSN)
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  • 1229-0645(eISSN)
한국산업응용수학회 (Korean Society for Industrial and Applied Mathematics)
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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)
  • 투고 : 2012.09.14
  • 심사 : 2013.01.17
  • 발행 : 2013.03.25
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초록

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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참고문헌

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피인용 문헌

  1. Effective Automatic Foreground Motion Detection Using the Statistic Information of Background vol.20, pp.9, 2013, https://doi.org/10.9708/jksci.2015.20.9.121
  2. Implementation of an improved real-time object tracking algorithm using brightness feature information and color information of object vol.22, pp.5, 2013, https://doi.org/10.9708/jksci.2017.22.05.021
  3. Implementation of Effective Automatic Foreground Motion Detection Using Color Information vol.22, pp.6, 2013, https://doi.org/10.9708/jksci.2017.22.06.131
  4. Design Of Intrusion Detection System Using Background Machine Learning vol.24, pp.5, 2019, https://doi.org/10.9708/jksci.2019.24.05.149