A self-organization mapping based region Gaussian model algorithm is proposed

which can detect moving objects in complex background image sequences of the static scene. This algorithm combined single Gaussian model with region Gaussian model to form a cascading detection method

and the “competition & cooperation” mechanism was introduced in the step of region Gaussian model updating. This method can not only detect moving objects efficiently at the scene of shaking leaves

waving water surface and other complex background

but also guarantee the integrity of detected objects. Through the experiments of PETS2002 and Water Surface image sequences

the characteristic of proposed algorithm was validated in various environments with complex background.