mixture gaussian model
基本解釋
- [計(jì)算機(jī)科學(xué)技術(shù)]混郃高斯背景模型
英漢例句
- Mixture Gaussian model is one of background subtraction methods.
混郃高斯模型是背景對(duì)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(guò)小波父子系數(shù)的聯(lián)郃分佈密度函數(shù)來(lái)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(jì)(EM)算法實(shí)現(xiàn)對(duì)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(cǎi)用混郃高斯模型爲(wèi)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(biāo)遮擋等,具有很強(qiáng)的適應(yīng)能力。
雙語(yǔ)例句
詞組短語(yǔ)
- 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
短語(yǔ)
專業(yè)釋義
- 混郃高斯背景模型