双因素分离聚类法是一种有广泛应用背景的处理双因素不完全配对模型的数理统计方法。
Bifactorial separation classification method is a mathematical statistics method that is used bifactorial incomplete pairing model that has wide applied backgrounds.
该方法首先建立背景统计模型，然后对后续帧进行假设检验，从而分割出视频对象。
A statistical background model is first setup, then the hypothesis testing is applied to the following frames to segment the video objects.
本文对作为常见遥感图像背景存在的云背景红外天空图像的统计特性进行了深入的研究，并对它们建立了相应的模型。
This thesis gives a thorough research of infrared cloudy sky images often seen as backgrounds of remote sensing images and sets up the corresponding models.
在检测开始之前，首先由摄像机对无人环境持续观测一段时间，建立背景的统计模型；
First, it builds the background model by observing the scene without people in it.
文中算法采用HSV颜色空间，通过对背景统计模型中各颜色分量的有效分析和区别使用，能够很好地适应不同的环境光照条件。
HSV color model is also used and its color components are analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination conditions.
文中算法采用HSV颜色空间，通过对背景统计模型中各颜色分量的有效分析和区别使用，能够很好地适应不同的环境光照条件。
HSV color model is also used and its color components are analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination conditions.
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