Moving Object Detection Algorithm for Surveillance System 


Vol. 30,  No. 1, pp. 44-53, Jan.  2005


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  Abstract

In this paper, a improved moving object detection algorithm for stable performance of surveillance system in case of iterative moving in limited area and rapidly illuminance change in background scene is proposed. The proposed algorithm is that background scenes are sampled for initializing background image then the sampled frames are divided by block and sum of graylevel value for each block pixel was calculated, respectively. The mitiallzation of background image is that background frame is respectively reconstructed with selecting only the maximum graylevel value and the minimum graylevel value of blocks located at same position between adjacent frames, then reference images of background are set by the reconstructed background images. Moving object detecting is that the current image frame is divided by block then sum of graylevel value for each block pixel is calculated If the calculated value is out of graylevel range of the initialized two reference images. It is decided with moving objects block,
otherwise it is decided background. The evaluated results is that the error rate of the proposed method is less than the error rate of the existing methods from 0.01% to 20.33% and the detection rate of the proposed method is better than the existing methods from 0.17% to 22.83%.

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  Cite this article

[IEEE Style]

K. Lim and J. Lee, "Moving Object Detection Algorithm for Surveillance System," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 1, pp. 44-53, 2005. DOI: .

[ACM Style]

Kang-mo Lim and Joe-shin Lee. 2005. Moving Object Detection Algorithm for Surveillance System. The Journal of Korean Institute of Communications and Information Sciences, 30, 1, (2005), 44-53. DOI: .

[KICS Style]

Kang-mo Lim and Joe-shin Lee, "Moving Object Detection Algorithm for Surveillance System," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 1, pp. 44-53, 1. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880