混合高斯模型算法，可以产生混合高斯分布，并通过自拟和确定高斯函数个数。-Gaussian mixture model algorithm, can produce a mixture of Gaussian distribution, and through self-fitting to determine the number of Gaussian function.

本程序对超高斯和亚高斯性信源的多路信号进行混合，然后用MDL、AIC、特征值分解、GIC、IAIC几种算法对上述混合信号个数进行估计。-The procedure for multiple signals super-Gaussian and sub-Gaussian sources are mixed, then MDL, AIC, eigenvalue decomposition, GIC, IAIC several algorithms for estimating the mixed s

在整个实现过程中，背景建模是核心，采用基于高斯混合模型的背景建摸方法。-Throughout the implementation process, background modeling is the core, built on the background of GMM touch method.

运用高斯混合模型，识别车辆，分割车辆，检测车流量，运算很快，效果不错-Using the gaussian mixture model, identification of vehicles, vehicle segmentation, detection and traffic operation soon, effect is good