A real-time video denoising algorithm based on adaptive multi-layers background is presented in this paper. The
adaptive multi-layers background, which is aimed at the demand for video denoising, not only applies to static scene,
but also applies to unstable scene. The modification of multi-layers background would be accomplished by a short-term
adjustment after the scene changed. Based on the multi-layers background, the video denoising algorithm promotes the
distinct vision of static scene and the short-term inactive region. The model of multi-layers background adjusts step by
step adaptively. So it is not in need of a long-term delay and expensive computation. Experiments demonstrate the
effectiveness of this algorithm.