The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
A discrete method for stochastic variable (features) space of class-conditional-probability density and estimation method for class-conditional -probability distribution is proposed.
本文提出了类条件概率密度随机变量（特征）空间离散化及类条件概率分布估计方法。
An introduction is Made of the method of using the weight of probability density function of error distribution law to conduct anti-error estimation.
文中主要介绍了利用误差分布律概率密度函数定权来进行抗差估计的一种方法。
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