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A camera mounted on a MICro Aerial Vehicle (MICAV) provides an excellent means to monitor large areas of a scene. In this paper, we present a novel approach for detecting motion regions in video sequence observed by a moving MICAV. Foreground object segmentation is done in four levels. In the first level, we use Pearson correlation coefficient (rab) to segment foreground from background. In the second level, we apply, self shadow removal algorithm based on Difference in Mean (Z) method. And in third and fourth stage, any remaining background spurious noise is removed concurrently, first calculating global histogram and then using local histogram based methods using HSI color space. The experiment is conducted on MICAV video and result shows the effectiveness of the proposed technique.