Abstract: Moving object detection is the basis for tracking and behavior analysis tasks.In moving target detection,eliminating the interference of background and noise and separating moving targets out from the image have been the focus of the study.Gaussian mixture model method is widely used in object detection, has a better anti-interference ability for existence of small amplitude motion of background and can extract more complete moving target,but at the same time noise exists and shadow suppression is less effective.An improved algorithm for moving target detection based on Gaussian mixture model was proposed to make up the deficiencies of original Gaussian mixture model method,original Gaussian mixture model and four-frame differencing were combined by taking advantage of the better adaptability to light change and simple algorithm features of frame difference method.The experimental results indicate that the proposed method can eliminate noise and shadow effectively in complex environment and improve the accuracy and integrity of moving target detection.

Key words: Moving target detection,Gaussian mixture model,Four-frame differencing