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

이웅희 (인하대학교 전자공학과)
김태희 (한국전자통신연구원 전파방송연구소)
정동석 (인하대학교 전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.28, no.10C, 2003 , pp. 958-966 More about this Journal
Abstract
Change detection algorithms based on frame difference are frequently used for finding moving objects in image sequences. These algorithms detect the change of frames 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 be detected by the proposed method using structure tensor. Experimental result shows that the proposed method reduces the false detections effectively by 90% on "Weather", by 34% on "Mother & daughter" and by 43% on "Aisle" than an existing method does.
Keywords
nonparametric change detection; euler number; structure tensor;
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