Background subtraction under single varying illumination

Background subtraction is widely used in detecting moving objects in a static scene, which requires a fixed camera, and a static background. Most background subtract algorithms require the illumination changing slowly, so can be tracked and updated. If the illumination changes fast and non-monotony, many algorithms fail. Here we research one special condition in changing illumination: single continuous varying illumination. This scene can be seen indoor or in the dark or in underground architecture. We advance a new algorithm based on the illumination factor (BSIF-background subtraction based on illumination factor), it can relative precisely get the moving objects in this scene.