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[
Special Effects
]
backmode824
DL : 0
这个是应用混合高斯的背景建模的方法进行的目标检测的程序,需要应用opencv.供大家交流交流-this is the application of Gaussian mixture of the background modeling method for the detection procedures, opencv needed. for the exchange of exchange
Update
: 2025-02-17
Size
: 423kb
Publisher
:
王鑫
[
Other
]
gaussfilterbasedukf
DL : 0
:介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation,UT)算法,并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较,阐明了UKF优于EKF。在此基础上,提出了一种基于Unscented变换(uT)的高斯和滤 波算法,该算法首先通过合并准则得到适当个数的混合高斯模型,逼近系统中非高斯噪声的概率密度-: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density
Update
: 2025-02-17
Size
: 201kb
Publisher
:
lyh
[
AI-NN-PR
]
em_gm
DL : 0
EM算法是机器学习领域中常用的一种算法,这个文件是EM算法最简单的一种实现,即在Gaussian Mixture model上面的EM。-EM field of machine learning algorithm is commonly used in an algorithm, this document is the most simple EM algorithm as a realization that, in Gaussian Mixture model above EM.
Update
: 2025-02-17
Size
: 3kb
Publisher
:
De-Chuan Zhan
[
matlab
]
Gaussian-Mix
DL : 0
这是一个高斯混合模型的源代码,环境是matlab, 高斯混合模型运用于多个方面,在信号处理中应用非常广泛,初学者可以作为参考-This is a Gaussian mixture model of the source code, the environment is matlab, Gaussian mixture model applied to various aspects of signal processing applications in a very wide range of beginners can be used as reference
Update
: 2025-02-17
Size
: 3kb
Publisher
:
亿摆
[
matlab
]
EM_GM
DL : 0
% EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) - input data, n=number of observations, d=dimension of variable % k - maximum number of Gaussian components allowed % ltol - percentage of the log likelihood difference between 2 iterations ([] for none) % maxiter - maximum number of iteration allowed ([] for none) % pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) % Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) % % Ouputs: % W(1,k) - estimated weights of GM % M(d,k) - estimated mean vectors of GM % V(d,d,k) - estimated covariance matrices of GM % L - log likelihood of estimates %- EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates
Update
: 2025-02-17
Size
: 3kb
Publisher
:
Shaoqing Yu
[
matlab
]
20081004
DL : 0
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
Update
: 2025-02-17
Size
: 52kb
Publisher
:
li shu
[
Graph Recognize
]
1001
DL : 0
这是一篇详细介绍人脸检测与语音驱动口型的文章,其中使用了高斯混合模型采取了无监督聚类的方法,希望对你有用。-This is a detailed introduction Face Detection and voice-driven I-type article, which uses the Gaussian mixture model taken unsupervised clustering method, in the hope that useful to you.
Update
: 2025-02-17
Size
: 246kb
Publisher
:
kellan
[
Special Effects
]
codes
DL : 0
这个文件包里包含了几乎所有的聚类的工具箱,包含采用混合高斯模型的运动物体检测方面的源代码。-This document contains the bag almost all the clustering of the toolbox, including the use of Gaussian Mixture Model of Moving Objects for testing source code.
Update
: 2025-02-17
Size
: 122kb
Publisher
:
齐欣
[
Other
]
codebook
DL : 0
此代码实现了基于码书的背景建模法在运动目标检测中的运用-This code implementation code book based on background modeling method in target detection exercise in the use of
Update
: 2025-02-17
Size
: 3kb
Publisher
:
chenfei
[
Special Effects
]
markov
DL : 0
基于高斯混合模型markov树算法的图像分割-Gaussian mixture model based markov tree algorithm for image segmentation. . .
Update
: 2025-02-17
Size
: 10kb
Publisher
:
ZHUANG
[
Multimedia Develop
]
Image_Bib4
DL : 0
This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
Update
: 2025-02-17
Size
: 211kb
Publisher
:
Rajaram
[
Special Effects
]
EM_GM_fast
DL : 0
EM基于高斯混合模型的EM算法,EM基于高斯混合模型的EM算法EM基于高斯混合模型的EM算法-EM-based EM algorithm for Gaussian mixture model
Update
: 2025-02-17
Size
: 3kb
Publisher
:
fujie
[
Special Effects
]
Background_Subtraction_with_MCS
DL : 0
背景消去算法,Mixture of Gaussian frame_difference approximate_median-Background_Subtraction_with_MCS Mixture of Gaussian frame_difference approximate_median
Update
: 2025-02-17
Size
: 16.45mb
Publisher
:
Kendall Wang
[
Special Effects
]
GaussianMixtureModels
DL : 0
GMM Model Gaussian Mixture Models - Algorithm and Matlab Code-GMM Model!
Update
: 2025-02-17
Size
: 42kb
Publisher
:
Kendall Wang
[
matlab
]
mlr
DL : 0
Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm.
Update
: 2025-02-17
Size
: 4kb
Publisher
:
ruso
[
Special Effects
]
motiondetect
DL : 0
实现基于混合高斯模型的运动目标检测算法的仿真-Achieved based on Gaussian mixture model simulation of moving target detection algorithm
Update
: 2025-02-17
Size
: 1kb
Publisher
:
彭灿
[
Graph program
]
mixture_of_gaussians
DL : 0
基于混合高斯模型的背景减除算法实现。matlab代码。-Gaussian mixture model-based background subtraction algorithm. matlab code.
Update
: 2025-02-17
Size
: 81kb
Publisher
:
geziyi
[
Other
]
GaussianMixtureModels
DL : 0
MoG is used to model the intensity of pixel as a mixture of Gaussian functions
Update
: 2025-02-17
Size
: 418kb
Publisher
:
yahoo
[
Special Effects
]
P_GMM
DL : 0
用于背景差分的高斯混合建模,实现运动目标检测,c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
Update
: 2025-02-17
Size
: 2.63mb
Publisher
:
chuck
[
matlab
]
7.1-Fitting-Mixture-of-Gaussians
DL : 0
Program for fitting Mixture of Gaussian
Update
: 2025-02-17
Size
: 153kb
Publisher
:
jorgehas
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