The scene monitored by intelligent video is stable most of the time, but has random perturbation, such as the waving of trees and the shaking of litter. For this type of scene, a improved method for the moving object detection algorithm which is based on the Mixture of Gaussians has been proposed. For making up the deficiency of Mixture of Gaussians, this method can retain the inherent characteristics of the image and filter out the random perturbation by sharpening, smoothing and dichotomy processing based on the preliminary result of moving object detection generated by the Mixture of Gaussians and uses the background difference algorithm to detect the moving object finally. Experimental results indicated that the method can detect the moving object from the video stream precisely.%视频监控针对的场景是安静的场景,但是具有随机的扰动,如树木摇动、杂物抖动等;针对这种场景,提出了对基于混合高斯模型的运动目标检测算法的改进方法,在混合高斯模型检测到运动目标的初步结果基础上,采用锐化处理、平滑处理、二值化处理等手段,保留图像固有特征,滤除随机抖动；对处理后的图像运用背景帧差法,弥补混合高斯模型的不足,最终检测到准确的运动目标；实验结果表明,该方法能从具有随机扰动的视频流中准确的检测到运动目标.
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