그래디언트 백터 기반 MKFC를 이용한 실내 조명 변화에 강인한 이동 물체 검출

초록

In this paper, we propose a robust moving object detection algorithm against indoor light illumination conditions. Since the conventional algorithm is based on the intensity of pixels, its false alarm rate may increase in such indoor light conditions. On the other hand, the proposed algorithm uses information of gradient vector of pixel intensity variance based on local binary patterns (i.e., gradient-vector based image transform), resulting in insensitivity to light change situations. Finally, the performance of the proposed algorithm is verified in terms of false alarm rates through simulation results.

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