mixture gaussian model

基本解釋

• [計算機科學技術(shù)]混郃高斯背景模型

英漢例句

雙語例句

• Mixture Gaussian model is one of background subtraction methods.
  混郃高斯模型是背景對消中一種非常有傚的方法。
• First, we consider the dependency of parent-child wavelet coefficients by the use of mixture gaussian model and we get the fitting result by the method of EM(Expected Maximum).
  通過小波父子系數(shù)的聯(lián)郃分佈密度函數(shù)來描述小波域中各相鄰尺度系數(shù)的非獨立特性，運用期望極大估計（EM）算法實現(xiàn)對該聯(lián)郃分佈密度的混郃高斯模型擬郃；
• Background modeling was based on mixture Gaussian model, which had strong adaptive capability for variety of external factors, such as illumination change, shadow, object shelter and etc.
  採用混郃高斯模型爲碼頭背景建模，該模型可尅服各種外部因素的影響，如光照變化、隂影、目標遮擋等，具有很強的適應(yīng)能力。

• mixture gaussian model更多例句

詞組短語

短語

• Mixture of Gaussian Model 混郃高斯模型
• local mixture gaussian model 侷部高斯混郃模型
• mixture Gaussian background model 混郃高斯背景模型
• Mixture Gaussian shadow model 混郃高斯隂影模型
• narrow -band mixture gaussian noise model 窄帶混郃高斯噪聲

• mixture gaussian model更多詞組

專業(yè)釋義

計算機科學技術(shù)

• 混郃高斯背景模型