A novel noise modeling for object detection using uncalibrated difference image

  • Authors:
  • Joungwook Park;Kwan H. Lee

  • Affiliations:
  • Intelligent Design and Graphics laboratory, Department of Mechatronics, Gwangju Institute Science and Technology (GIST), Gwangju, Korea;Intelligent Design and Graphics laboratory, Department of Mechatronics, Gwangju Institute Science and Technology (GIST), Gwangju, Korea

  • Venue:
  • CIS'04 Proceedings of the First international conference on Computational and Information Science
  • Year:
  • 2004

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Abstract

In order to extract the region of an object from an image, the difference image method is attractive since it is computationally inexpensive. However, the difference image is not frequently used due to the noise in the difference image. In this paper, we analyze the noise in an uncalibrated difference image and propose a statistical noise calibration method. In the experiment, the proposed method is verified using a real image.