With increasing advancing of pervasive computer and information technology, the traditional surveillance system is moving toward to digitization. The benefit of the digitization of surveillance system are analyzing image data easily and fast for some purposes such as "Change Detection" and " Recognition of object" in image. The goal of this study is to provide a method for tracking object regardless of luminance, in other words, the proposed method will detect the moving object in the circumstance with insufficient light and dim, and by retrieve additional information under the light limited environment then we can develop a more smart mechanism for surveillance system usage. We cut single image frame in several small blocks for computing corresponding "Moment value" to each block. We leverage the characteristic of "Image Moment" to approach an effective moving detecting method under insufficient light environment. Finally, we an application to prove our method can detect moving object fast and precisely under the insufficient light environment.