Improved moving objects detection method based on GMM
改进的基于GMM的运动目标检测方法*

Arming at the limitations of being effectively reflecting the background by the traditional Gaussian mixture background modeling (GMM) in some complex situations, this paper proposed an improved algorithm. This algorithm added updating and regression controlling factor to improve the parameter model, and limited residence time of moving objects quantitatively. The detection results were formed by background subtraction method with the background which was better to adapt to a rapidly changing environment and established in the time domain. Finally, applied the mathematical morphology for image post-processing in the space domain. Experiment results show that this algorithm, which is robust to detecting moving object under a scene of the fixed camera, can accelerate the establishment and the formation of the background and improve the anti-interference ability of external disturbance and effect of illumination efficiently.