블록 영상의 통계적 특성을 이용한 적응적 상황 검출 알고리즘

An Adaptive Event Detection Algorithm Based on Statistics of Subblock Images

In this paper, an adaptive event detection algorithm is proposed, for which we use the statistics of subblock image and adaptive threshold levels. The adaptive threshold level for a parameter binarization is taken by averaging the corresponding paramerter obtained from several input images. As simulation results, it is shown that the proposed algorithm is much more adaptive to the input images and effective in event detection rate than the conventional difference based algorithms.