mixture gaussian model
基本解釋
- [計算機(jī)科學(xué)技術(shù)]混合高斯背景模型
英漢例句
- Mixture Gaussian model is one of background subtraction methods.
混合高斯模型是背景對消中一種非常有效的方法。 - 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)合分布密度函數(shù)來描述小波域中各相鄰尺度系數(shù)的非獨(dú)立特性,運(yùn)用期望極大估計(EM)算法實現(xiàn)對該聯(lián)合分布密度的混合高斯模型擬合; - 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.
采用混合高斯模型為碼頭背景建模,該模型可克服各種外部因素的影響,如光照變化、陰影、目標(biāo)遮擋等,具有很強(qiáng)的適應(yīng)能力。
雙語例句
詞組短語
- Mixture of Gaussian Model 混合高斯模型
- local mixture gaussian model 局部高斯混合模型
- mixture Gaussian background model 混合高斯背景模型
- Mixture Gaussian shadow model 混合高斯陰影模型
- narrow -band mixture gaussian noise model 窄帶混合高斯噪聲
短語
專業(yè)釋義
- 混合高斯背景模型