A Alternative Background Modeling Method for Change Detection

영상차이를 이용한 움직임 검출에 필요한 배경영상 모델링 및 갱신 기법 연구

Many motion object detection algorithms rely on the process of background subtraction, an important technique that is used for detecting changes from a model of the background scene. This paper propose a novel method to update the background model image of a visual surveillance system which is not stationary. In order to do this, we use a background model based on statistical qualities of monitored images and another background model that excluded motions. By comparing each changed area computed from the two background model images and current monitored image, the areas that will be updated are decided.