The traditional mixture Gaussian model is a commonly used method in background estimation

however

the traditional mixture Gaussian model always allocates a fixed number of Gaussian distribution for each pixel

thus it causes the slowdown of the background germinate speed and the waste of system resource;meanwhile

it exists that the object misjudge phenomenon

namely empty problem

caused by slowdown or demurrage of moving object in the modeling of Gaussian model background.To solve the problem

we propose an effective two-phase method for video images processing.In the first phase

this method automatically adjusts the number of Gaussian distribution based on the priority of each pixel;in the second phase

it firstly partitions the area of each pixel

then uses different update method for object area and non-object area.The experiments show that the two-phase method for video image processing can significantly improve the speed of background model

furthermore efficiently resolve the empty problem in extracting objects

so it verifies the effective of the method.