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TGMMMrarh
- 本混合高斯模型是一种基于opencv的，运用用了系统自带的检测函数，检测效果较好.欢迎切磋! -Gaussian mixture model is based on the opencv, the use of the system comes with the detection functions, better detection. Welcome to learn!
Gcvrara
- 混合高斯模型车辆运动检测 [VVisual C++]检测效果不错 -Gaussian mixture model vehicle motion detection [VVisual C++] detected well
GMM
- 模式识别问题中GMM(混合高斯模型)的推导-Pattern recognition-Gaussian mixture model
clustering
- 使用K-means，混合高斯模型（GMM），层次聚类算法实现的多类别数据的聚类。内含详细的实验报告。-Using K-means, Gaussian mixture model (GMM), hierarchical clustering algorithm to achieve multi-class data clustering. Including a detailed lab report.
GMM
- 用于目标检测的混合高斯模型GMM算法，程序应该可以实现-For target detection of mixed Gauss model GMM algorithm
gmm
- 混合高斯背景建模C++源程序 在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。-Before the the mixed Gaussian background the modeling C++ source. During foreground detection, background training, each background image using a Gaussian mixture model simu
KaewTraKulPong
- opencv中混合高斯模型实现方法的参考文献-An Improved Adaptive Background Mixture Model for Real-time Tracking and Shadow Detection
Gaussian
- 这是一种新的自适应混合高斯算法，同基于传统混合高斯模型的运动目标检测 方法相比, 该方法有较好的自适应性, 能快速适应场景的变化-This is a new adaptive Gaussian mixture algorithm, compared with the traditional Gaussian mixture model-based moving target detection method, the method has better adaptability, able
MixtureGaussian
- 混合高斯模型背景算法实现视频序列中运动目标的检测-Realise moving object detection in video sequence with Gaussian mixture model background algorithm。
new目标检测的程序
- 混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频-The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video
Moving-target-detection
- 运动目标检测的一些程序，包括帧差法、三帧差分法和混合高斯模型-Moving target detection procedures, including frame difference method, three difference method and Gaussian mixture model
GMM
- 混合高斯模型算法，可以产生混合高斯分布，并通过自拟和确定高斯函数个数。-Gaussian mixture model algorithm, can produce a mixture of Gaussian distribution, and through self-fitting to determine the number of Gaussian function.
beforeground
- 在matlab平台上，基于混合高斯模型的前景提取。-Matlab platform, based on Gaussian mixture model prospects extract.
fruit-recognition
- 水果分类 fruit recognition 运行demo即可 这个程序主要是通过对训练样本中的三幅图像提取的颜色信息建立混合高斯模型，然后对目标图像进行测试。 在demo最后一段中，可以替换‘t1.jpg’，以便进行不同图片的识别。 程序运行过程比较慢，请耐心等待。 运行结果是蓝色点聚集的区域是属于橘子的。- fruit recognition
gaussian_avi
- 读入avi,利用混合高斯模型，检测出运动的前景和背景信息。VS2008+opencv2.4.3-Read into avi, Gaussian mixture model to detect the movement of the foreground and background information. VS2008+opencv2.4.3
BLkg19
- Visual C++ 中对视频基于混合高斯模型的目标检测-Gaussian mixture model-based target detection
tracking
- 视频的运动目标跟踪，目标可自行框定选择。采用MeanShift、纹理特征及混合高斯模型等融合的方法。目标跟踪效果非常好，尤其运动速度较快情况，以及人物间遮挡情况。-Video moving target tracking, the goal of self-framed choice. Of MeanShift, texture feature and mixed Gaussian model fusion method. Target tracking performance is very
mixture_of_gaussians
- 基于改进混合高斯模型的方法进行初始背景的建模及背景更新-Improved Gaussian mixture model-based approach, the initial background modeling and background updates
EM-suanfa-hunhegaosi
- em算法计算混合高斯模型的参数估计，极大似然，EM算法用于K均值问题的参数估计。MATLAB实现有代码-em algorithm Gaussian mixture model parameter estimation, maximum likelihood parameter estimation for K-means problem EM algorithm. MATLAB implementation code
hunhegaosi
- 针对智能交通系统中运动目标检测阶段存在的不足，提出了一种基于自适应混合高斯模型（ＧＭＭ）的改进算法。-For the deficiencies of the intelligent transportation system moving target detection stage, an improved algorithm based on adaptive Gaussian mixture model (GMM).