一种基于高斯混合模型的运动目标检测改进算法

在运动目标检测方法的研究中提出一种基于高斯混合模型的运动目标检测的改进算法。首先利用颜色信息对背景建立高斯混合模型；其次在模型更新阶段．为了模型的自适应性和尽量逼近真实信号量，在传统学习率基础上提出一种加权思想，即对均值与方差分别给出一个不同的加权值。最后应用中值滤波及物体空间连通性进行后处理。实验结果表明，与传统高斯混合模型方法相比，改进的方法能更加有效地检测出运动目标，具有较好的鲁棒性。

Improved Moving Object Detection Algorithm Based on Gaussian Mixture Model

An improved method for detecting moving objects based on Gaussian mixture model for a video monitoring system is proposed in detection research.A Gaussian mixture model is established for the background based on color information.To keep adaptive characteristics and approximation to the real signal,a weighted method is provided based on the traditional learning rate in the model updating step,which gives different weights to the mean value and the variance value correspondingly.A median filter and object sp...