搜索资源列表
hunhegaosi
- 应用混合高斯模型进行建模，讲解了混合高斯模型的原理，并附有实现的程序，有三种方法看，调试通过-Model the application of Gaussian mixture model to explain the principle of the Gaussian mixture model, together with the realization of the program, there are three ways of looking at debugging through
Background-Extract
- 介绍了背景的提取与自适应更新的算法,提出了一种基于直方图统计与多帧平均混合的算法。 这种算法克服单纯的多帧图像在车流量多、车速低时出现拖尾和模糊的现象,且相对于混合高斯模 型,其计算复杂度较低。该算法已通过TIDM642 DSP硬件平台实现,实验图像结果表明,该背景提 取算法的速度快,且符合实际场景 -The paper introducesbackground extractionswith self-adaptive update algorithm and puts for
Ibasedoncolorn
- 为了提高非结构化道路识别算法的有效性,提出了一种道路分割的新方法,建立了道路区域域和非道路区域混合高斯彩色模型,根据像素隶属于彩色模型的概率进行基于彩色信息道路 - -A road split in order to improve the effectiveness of unstructured road recognition algorithm is proposed to establish a road regional domain and non-road area Gau
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!
mixGBm
- 混合高斯背景建模 对运动物体进行检测 有助于初学者-Gauss mixture background model for moving object detection
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
gaussianBkModelTest
- 混合高斯背景模型，用于前景提取，对复杂光线等因素鲁棒性较好-The mixed Gaussian background model for prospects extract better robustness of complex lighting and other factors
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
gsbj
- 这段代码是在vs2010和opencv2.3.1环境中实现的混合高斯建模，下载的他人代码进行了修改与调试，之前代码是vs06的。版本之间不同，代码就会出很多错，很难调试，这个已被调试好，能跑。-This code is in Gaussian mixture modeling to achieve the vs2010 and opencv2.3.1 environment, download the others to modify the code and debug, before the
HTK-digital-SR-system-
- 该系统能够识别连续说出的数字串和若干组姓名。建模是针对子词(sub-word, eg. 音 素)，具有一定的可扩充性。当加入一个新名字时，只需修改发音词典和任务语法即可。模 型为连续混合高斯输出，运用语音决策树聚类形成的绑定状态式三音素。-The system is able to recognize continuously spoken digit string and the number of groups name. Modeling is a sub-word (sub-wo
MatFunC
- 本算法包括最大似然估计，最小二乘估计，基于EM算法的多种混合高斯分布估计，EM算法测试实例，绘制每种分布的plot函数。非常有参考价值！-The algorithm including maximum likelihood estimation, least squares estimation, based on the the many EM algorithm mixed Gaussian distribution is estimated, the EM algorithm test c
GMM
- 利用混合高斯进行背景建模，实现运动目标检测-Gaussian mixture background modeling, moving target detection
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-mixture-model-algorithm
- 完整的背景混合高斯建模的程序，很不错，很好用-Gaussian mixture model algorithm
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
mixture_of_gaussians
- 基于混合高斯背景建模的背景差分视频目标检测方法。matlab代码-Video target detection method based on Gaussian mixture background modeling background difference. matlab code
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。