Updating of the reference image for visual surveillance systems

The paper presents a new algorithm for updating the reference image used in a visual surveillance platform. Updating the reference image is a crucial step of motion detection. Most of the classical methods consist in slow integration of the current image into the reference image. We propose to model the integration process to discriminate parts of the image that correspond to illumination and environment changes from those that correspond to individuals evolving in the scene. We show some results on subway video sequences. (5 pages)