搜索资源列表
GMMmatlab
- MATLAB中实现GMM算法的原始代码，实现图像分割-GMM algorithm implemented in MATLAB source code for image segmentation
mixture_of_gaussians
- 混合高斯模型 图像检测 可以应用于视频和图片-Mixture Gaussian model image detection can be applied to video and picture
gmm
- A common method for real-time segmentation of moving regions in image sequences involves “background subtraction,” or thresholding the error between an estimate of the image without moving objects and the current image. The numerous approache
shanchen
- 此程序能够处理流体力学中两种混合物的动力学效应，给出形象的描述，速度快，准确度高，希望对一些人有用。-This program can handle a mixture of two kinds of fluid mechanics, dynamics effects, given a descr iption of the image of speed, high accuracy, hoping for some useful
mixtureGussian_jp
- 一种用于图像超分辨率分析的混合高斯模型算法。可实现图像方法，同时保持很好的图像边缘。-For image super-resolution algorithm for Gaussian mixture model analysis. Image method can be realized while maintaining a good edge.
SSMS
- 基于高斯混合模型，经由一种高效率的EM-MAP算法，解决图像超分辨率重建问题-A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm.
motion3
- 基于混合高斯模型的多目标跟踪算法，对背景图像建立混合高斯模型，实时更新高斯模型，达到更新背景的目的。-Gaussian mixture model-based multi-target tracking algorithm, Gaussian mixture model to establish the background image, real-time updates Gaussian model, to achieve the purpose of updating the backgr
BlindSignalAdaptiveAlgorithms
- 针对瞬时混合盲信号分离的自适应算法进行调研和比较，对于LMS，RLS算法（包括基于普通梯度和自然梯度两种）进行仿真验证，并对一些未知图像的混合进行分离。-Blind signal separation for instantaneous mixture algorithm for adaptive research and comparison, for the LMS, RLS algorithms (including gradient and natural gradient based
tongjimoxing
- 本程序，是SAR图像的提机密性，如广义高斯混合模型，welbull模型和高斯模型等等，是学习SAR图像统计模型的基础程序-This procedure is a SAR image to mention confidentiality, such as the generalized Gaussian mixture model, welbull model and Gaussian model, is the study of the SAR image statistical model p
Sequence
- 混合高斯建模读取图片序列，前景背景比较-Gaussian mixture modeling reading the image sequence, foreground and background
GAUSSIN
- 利用高斯算法提取视频对象，是一种很好的算法-Mixture Gaussian model image detection can be applied to video and picture
Gaussian-mixture-modeling
- 通过对序列图像进行混合高斯建模，分离背景和前景目标。-Gaussian mixture modeling of image sequences, separation of background and foreground objects.
mixture_of_gaussians
- 这段代码是在matlab上运行的，能实现对视频的图像处理，即高斯混合背景建模方法。-This code is run in matlab that can realize the video image processing, namely Gaussian mixture background modeling method.
06362230
- Continuous Birdsong Recognition Using Gaussian Mixture Modeling of Image Shape Features
gaosi
- 使用k均值的算法实现混合高斯模型参数的初始化并将多余高斯分布去（彩色图像）-The k-means algorithm using Gaussian mixture model parameter initialization and go the extra Gaussian distribution (color image)
gaussmix
- GMM（高斯混合模型），在语音和图像方面有着广泛的作用，用于特征值的建模以及识别。-GMM (Gaussian mixture model), the voice and image has a broader role for the eigenvalues of modeling and identification.
final-code
- This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation
MOG
- 使用Opencv实现的混合高斯背景建模，能够对图像的前景和背景进行分割。-Gaussian mixture background modeling using Opencv achieved, it is possible to image segmentation of the foreground and background.
Q
- 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，
GMM
- 高斯混合模型，通过EM算法迭代得出，可用于语音识别，图像识别等各种领域(Gauss mixture model is iteratively obtained by EM algorithm, and can be used in various fields such as speech recognition and image recognition)