An Improved Nonparametric Change Detection Algorithm Using Euler Number and Structure Tensor 


Vol. 28,  No. 10, pp. 958-966, Oct.  2003


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  Abstract

Change detection algorithms based on frame difference arc frequently used for finding moving objects in image sequences. These algorithms detect the change. of frame using estimated statistical background model. But, if this estimated background model is different from the actual statistical distribution, false detections are generated. In this paper, we propose an improved change detection algorithm using euler number and structure tensor. The proposed mapping method which is based on the euler number can be used for reducing the false detections that generated by nonparametric change detection algorithm. In this paper, the change in the region of moving object also can he detected by the proposed method using structure tensor. Experimental result shows that the proposed method reduces the false detections effective1y by 90% on "Weather", by 34% on "Mother & daughter" and by 43% on "Aisle" than an existing method does.

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  Cite this article

[IEEE Style]

W. Lee, T. Kim, D. Jeong, "An Improved Nonparametric Change Detection Algorithm Using Euler Number and Structure Tensor," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 10, pp. 958-966, 2003. DOI: .

[ACM Style]

Woong-Hee Lee, Tae-Hee Kim, and Dong-Seok Jeong. 2003. An Improved Nonparametric Change Detection Algorithm Using Euler Number and Structure Tensor. The Journal of Korean Institute of Communications and Information Sciences, 28, 10, (2003), 958-966. DOI: .

[KICS Style]

Woong-Hee Lee, Tae-Hee Kim, Dong-Seok Jeong, "An Improved Nonparametric Change Detection Algorithm Using Euler Number and Structure Tensor," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 10, pp. 958-966, 10. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880