A novel method of background subtraction for indoor surveillance

In this paper, a novel method of background subtraction and update is proposed for indoor surveillance. It is based on the hypothesis that the foreground pixel´s luminance and chroma fluctuate due to the movement of object. Different from the previous algorithms, this method takes each pixel´s time continuity in video sequence into consideration. It still works well even the background is visible for a short time. The experimental results show that the proposed method has good performance for indoor scenes.