实验结果表明，该方法与传统高斯混合背景模型相比，有较好的学习能力与稳定性，能提高运动目标检测的正确率。

Experimental results show that compared with moving object detection approach based on conventional Gaussian mixture model, it has a desirable stability and learning ability.

youdao

混合高斯模型是背景对消中一种非常有效的方法。

Mixture Gaussian model is one of background subtraction methods.

youdao

采用自适应高斯混合方法为背景建模的难点是对背景模型的维持与更新。

Taking the method of adaptive Gaussian mixture method can make model for background meanwhile it is a difficult point to maintain and update background model.

youdao