Background Subtraction under Single Varying Illumination in Different Background Luminance

Abstract

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 scene in changing illumination: single continuous varying illumination. This scene can be seen indoor or in the dark or in underground architecture and in some daytime conditions. We consider three different conditions on the background luminance, and a new algorithm based on these conditions through calculating the illumination factor is advanced, it can relative precisely obtain the moving objects in this scene compared to other algorithms.