An Effective Two-phase Method for Video Image Processing
Pan Jiao-li · Microelectronics & Computer · 2011
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.