Motion Detection using Adaptive Background Image and A Net Model Pixel Space of Boundary Detection 


Vol. 30,  No. 3, pp. 92-101, Mar.  2005


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  Abstract

It is difficult to detect the accurate detection which leads the camera it moves follows in change of the noise or illumination and Also, it could be recognized with backgound if the object doesn't move during hours.In this paper, the proposed method is updating changed background image as much as N*M pixel mask as time goes on after get a difference between imput image and first background image.
And checking image pixel can efficiently detect moving by computing fixed distance pixel instead of operate all pixel. Also, set up minimum area of object to use boundary point of object abstracted through checking image pixel and motion detect of object. Therefore motion detection is available as is fast and correct without doing checking image pixel every frame. From experiment, the designed and implemented system showed high precision ratio in performance assessment more than 90 percents.

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  Cite this article

[IEEE Style]

C. s. Lee and M. s. Jun, "Motion Detection using Adaptive Background Image and A Net Model Pixel Space of Boundary Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 3, pp. 92-101, 2005. DOI: .

[ACM Style]

Chang soo Lee and Moon seog Jun. 2005. Motion Detection using Adaptive Background Image and A Net Model Pixel Space of Boundary Detection. The Journal of Korean Institute of Communications and Information Sciences, 30, 3, (2005), 92-101. DOI: .

[KICS Style]

Chang soo Lee and Moon seog Jun, "Motion Detection using Adaptive Background Image and A Net Model Pixel Space of Boundary Detection," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 3, pp. 92-101, 3. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880