搜索资源列表
20081004
- GMM 混合高斯自适应背景维护 可以用来做行人检测 等-GMM Gaussian Mixture adaptive background maintenance can be used to make the pedestrian detection
VideoNPR
- 本程序采用GMM实现视频分割和简单的视频卡通化绘制。-GMM of the procedures used to achieve video segmentation and simple video cartoon drawing.
gmm
- 混合高斯模型是一种比高斯模型更好的背景建模方法-Gaussian mixture model is a better model than the Gaussian background modeling method
0626GMMspeakerrecognition
- 基于 GMM的说话人辨认系统及其改进 -GMM-based Speaker Identification System and its improvement
k5-15
- 自已用ｃ＋＋写的GMM的小程式，可用应用在不同的地方！-Own use c to write a small program of GMM can be used in different places!
VdieoSeg
- 用于进行视频分割的源码。采用GMM以及Meanshift算法目标进行，主要进行阴影跟踪。-Used for the source video segmentation. Meanshift algorithm using GMM, as well as targets, the main track for the shadow.
speaker_identification
- 这是小弟在实验室做的说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别。希望会对大家有帮助。-This is the boy in the laboratory to do the speaker identification procedure for the extraction of MFCC parameters and to establish GMM model to be identified. I ho
gmmTrain
- gmmTrain: Parameter training for gaussian mixture model (GMM) -gmmTrain: Parameter training for gaussian mixture model (GMM)
example
- 这是台湾张智星的模式识别的课件的源码，包括GMM和data clusting-This is the star pattern recognition Zhang Zhi courseware source, including the GMM and data clusting
gmmbayestb-v0.3
- 国外牛人Joni Kä mä rä inen and Pekka Paalanen编写的ＧＭＭ的程序-Foreign cattle were Joni K盲 m盲 r盲 inen and Pekka Paalanen prepared GMM procedures
GMM
- 高斯模型的实现，vc 6.0环境下实现的源代码，对于初学者有很好的借鉴作用-The realization of Gaussian model, vc 6.0 environment to achieve the source code, for the beginners have a good reference
gmmtbx
- 这是一个gmm的库，对学习gmm非常有用，希望大家多交流-This is a library gmm, gmm of learning is very useful, I hope all parties to have more exchanges
gmmtbx(1)
- GMM工具箱第一部分。包含了GMM算法的各个函数，对GMM建模很有帮助.-GMM first part of the toolbox. GMM algorithm contains all functions of GMM modeling helpful.
gmmtbx(2)
- GMM工具箱，第二部分。包含GMM建模的各种函数。-GMM toolbox, part II. GMM modeling contains a variety of functions.
sbc
- Wavelet Subband coding for speaker recognition The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for
HMM
- 简单明了的HMM-GMM-KEAMS调用接口，C环境使用。-Simple HMM-GMM-KEAMS Call Interface, C environments.
GMM
- 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
GMM
- 混合高斯建模是背景建模中的一种经典方法，对复杂背景具有较好的适应性！-Gaussian mixture modeling is modeling in the context of a classical method, the complex has better adaptability background!
05-a
- 本文章描述了说话人识别中GMM模型中的聚类算法的研究-This article describes the GMM Speaker Recognition Model Clustering Algorithm
Gaussian_mixture_model
- 高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於GMM 能够平滑地近似任意形状的密度分布,因此近年来常被用在语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of