本文介绍了常用的三种肤色检测模型：统计颜色模型、色度空间模型和高斯混合模型。
This paper introduced three skin-color detecting model: Statistical color model, Chroma Space model and Gaussian Mixture model.
本文在前人工作的基础上，研究了基于小波变换和高斯混合模型(GMM)的病态嗓音识别系统。
Based on the work of predecessors, the paper has studied on the system of pathological voice recognition based on the wavelet transformation and Gaussian mixes model (GMM).
从特征值处理和模型补偿两方面考虑，提出了基于高斯混合模型的加权特征补偿变换的抗噪声方法。
Based on feature processing and model compensation, a weighted features compensation transformation method based on GMM for robust speaker verification was proposed.
重点研究了三帧差分法和混合高斯模型背景差分法。
The three Frames subtraction and the background subtraction of Gaussian mixture model are researched.
重点研究了三帧差分法和混合高斯模型背景差分法。
The three Frames subtraction and the background subtraction of Gaussian mixture model are researched.
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