搜索资源列表
gmmcv
- 混合高斯模型 在opencv平台下实现 能够分离出视频序列中运动区域，并且建立背景-GMM gaussion mixture models
GaussianModelTest
- 基于混合高斯模型的视频图像背景提取，在qt creator环境下实现-Gaussian mixture model-based video image background extraction
Gaussian-mixture-model-based
- 基于自适应学习速率混合高斯模型的背景消除-Gaussian mixture model-based adaptive learning rate background elimination
daima
- 混合高斯模型 图像处理高斯混合模型(Gaussian而 xturemodel，简称GMM)是单一高斯概率密度函数的扩展和延伸，由于GMM能够平滑地近似任意形状的密度分布，因此近年来常被用在视频及语音信号的处理中-Gaussian mixture model for image processing
mixture_of_gaussians
- 混合高斯模型来进行前景背景区分的matlab实现代码-Gaussian mixture model to distinguish between foreground and background matlab implementation code
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
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
GS
- 基于混合高斯模型的算法，我们可以利用该算法提取前景，检测背景！-Gaussian mixture model-based algorithm, we can take advantage of the the algorithm extracted prospects, detect background!
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.