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本文介绍了基于MATLAB的语音识别系统,包括对语音信号的特征提取,包括语音信号的特征提取,快速傅立叶变换,离散余弦转换,线性预测分析,梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition
system using MATLAB® . The issues that were considered are 1
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对采集的视频图像序列进行基于混合高斯模型的背景建模,随着背景的不断更新,提取出的背景效果越来越好,但该方法不适合背景变化剧烈的场景。-Video capture image sequences based on background modeling Gaussian mixture model, with the background of constantly updated, the extracted background effect is getting better, but th
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BLS-GSM代表“Bayesian Least Squares - Gaussian Scale Mixture(贝叶斯最小二乘-高斯尺度混合模型)”。
这个工具箱实现了该篇论文中介绍的算法:
J Portilla, V Strela, M Wainwright, E P Simoncelli, Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain, IEEE
Transaction
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The document consists of explanation for gmm ie Gaussian mixture models
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十字路口车流通量及车身颜色的统计通过MATLAB创建系统对象,用于读入待处理视频,用于色彩空间转换、检测出包含汽车运动的图像块、用高斯混合模型检测背景、对检测出的运动车辆进行框画、标注检测到车辆的个数用于显示结果。颜色提取算法采用 RGB 颜色模型,利用MATLAB进行仿真-Crossing the circulation of the car and body color statistics by MATLAB to create object system, used to read th
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聚类算法之高斯混合模型,GMM 和 k-means 很像,不过 GMM 是学习出一些概率密度函数来(所以 GMM 除了用在 clustering 上之外,还经常被用于 density estimation )。-Gaussian mixture model of clustering algorithm, GMM and k-means like, but GMM is learning some probability density function (so GMM except on cl
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R 语言中高维聚类package,方便快捷-Discriminant analysis and data clustering methods for high dimensional
data, based on the assumption that high-dimensional data live in different subspaces
with low dimensionality proposing a new parametrization of the Gauss
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基于opencv的运动目标检测,采用了混合高斯和背景相减两种方法,带源码,希望有点用-Opencv based moving target detection, using a mixture Gaussian and background subtraction of two ways, with source code, hope Somewhat
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采用混合高斯模型对背景进行建模,然后对视频的运动目标进行检测!-By using the gaussian mixture model for background modeling, and then to detect the moving targets of video!
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高斯混合模型算法实现c++,高斯混合模型就是用高斯概率密度函数(正态分布曲线)精确地量化事物,它是一个将事物分解为若干的基于高斯概率密度函数(正态分布曲线)形成的模型-Gaussian mixture model algorithm c++, Gaussian mixture model is a Gaussian probability density function (normal distribution curve) to accurately quantify things, it
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本算法实现的是目标的跟踪,采用的是混合高斯模型建立背景,然后用meanshift进行跟踪,包括使用MFC进行界面编辑-The algorithm is to track the target, using Gaussian mixture model background, and then meanshift track, including the use of interfacial MFC edit
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利用高斯混合模型(gmm)实现了目标与背景的分离以及前景的跟踪。-Gaussian mixture model (gmm) to achieve the objectives and background of the separation and the prospect of tracking.
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高斯混合模型,模式识别。matlab源码实现分类-Gaussian mixture model of pattern recognition.The matlab source code to achieve
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高斯混合模型算法流程,一组测试数据进行分类,用osg显示-Gaussian mixture model algorithm process, a set of test data classification, using osg display
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很多人找不到opencv的高斯混合模型的源码,这里我找到了,一个文件是bgfg_gaussmix.cpp,一个是bgfg_gaussmix2.cpp.-Many people find opencv Gaussian mixture model of the source code, and here I found, a file is bgfg_gaussmix.cpp, one bgfg_gaussmix2.cpp.
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本文以室内、外不同空间的人数统计为背景,研究基于图像的人员计数技术,对某时段内进出摄像机视野中指定区域的人数,或指定区域内在景人数进行统计。主要研究内容有以下几点:
(1)人员计数方案论证:本文分析对比了不同人员计数算法,研究分析了基于像素、 基于Hough变换的人员计数算法的优缺点。
(2)基于像素统计的人员计数系统实现:①分别采用近似中值背景模型和高斯混合背景模型提取前景图像;②采用基于HSV颜色空间变换的方法对前景中的阴影进行抑制;③用前景像素数除以人数得到一个人的像素平均值,
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gaussian-mixture-models: This tool clusters the input image into n number of colored sections by synthesizing a Gaussian Mixture Model (GMM) using Expectation Maximization (EM).
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本文主要是针对传统混合高斯模型运动目标检测算法的不足做出了一些改进-This article is for the shortcomings of traditional Gaussian mixture model moving object detection algorithm made some improvements
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Suite of MATLAB based RFS filtering/tracking codes. The file contains single target filters thus Single target filter gms -Gaussian mixture solution for linear Gaussian models, ekf - EKF approximation for non-linear models
ukf -UKF approximatio
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Clustering of data points using Gaussian Mixture Model and EM Algorithm
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