Moving object detection based on mixture Gaussian model

In order to detect moving object in image scene in time, this paper presents a moving object detection method based on mixture Gaussian model. We regard the image pixel value as the synthesized process of the foreground Gauss distribution and the background Gauss distribution, and realize the background estimation and adaptive background update. Through performing multiple object segmentation after background subtraction, we can successfully detect multiple moving objects. The experiments show that when the background of image sequence is changing, the mixture Gaussian model based algorithm can estimate changed background accurately, and through subtraction between scene image and background image, the interested moving object can be detected. The experimental results for real image sequences demonstrate this moving object detection algorithm based on mixture Gaussian model is efficient.