搜索资源列表
GMM
- 混合高斯模型做的视频跟踪系统,具有良好的跟踪效果-Gaussian mixture model to do a video tracking system, has a good tracking results
GMM
- 建立了混合高斯模型,可以对静止背景下运动目标进行检测。-Gaussian mixture model is established, you can still detect moving target in the background.
emcenter
- 我写的改进中心点的混合高斯分布的EM算法-I wrote to improve the center of the EM algorithm for Gaussian mixture
demo1
- 我自己写的关于二维混合高斯分布的EM算法-I wrote about the distribution of two-dimensional Gaussian mixture EM algorithm
em-three-preference
- 基于EM算法,可以估计在混合高斯分布下的三个参数-EM expection
mixture_of_gaussians
- 这个代码适用于检测运动目标,基于混合高斯建模的运动目标检测。-this code can help you detection some objects,such as car,people,and so on. which based on mixture of gaussians background model
ppm
- 一个信号加入高斯噪声后的混合输出,在进PPM调制输出调制信号-Gaussian noise is a signal to the mixed output, the output modulation signal modulated into the PPM
js_gmm_Lee
- 根据Lee与2005年发表的混合高斯模型背景建模的论文编写的源代码,可以作为对GMM算法改进的一个参考。-According to Lee s paper published in 2005 about GMM background modeling, it is written in C. It should be a reference for those who are intrested in GMM algorithm improvement.
GMM3
- 基于混合高斯模型的运动目标检测,能实时检测出完整运动前景,是本人对原来的高斯模型的改进-Gaussian mixture model based motion detection, real-time full motion detection prospects are my original Gaussian model improvements
mulgmm
- 利用混合高斯模型对图像序列经行背景建模,并保存。(附图片)-Using Gaussian mixture model for background modeling image sequences through the line and save. (With pictures)
mixture_of_gaussians
- 这个程序是基于混合高斯背景模型的运动目标检测算法,m文件和所用视频放到matlab的工作目录下即可运行-This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run
mixture-Gauss-model-EM-matlab
- EM算法计算混合高斯模型,可以计算三个参数。-Gaussian mixture model EM algorithm, three parameters can be calculated.
mixture_of_gaussians
- 混合高斯模型使用K(基本为3到5个) 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。-training video with GMM model ,then get the background,and store the picture in your computer.
motion-detection-techniques
- 研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种改进的混合高斯模型更新算法.在Visual C++6.0中利用OpenCV完成了相关算法,成功地提取出了运动目标和实验场景的背景,验证了该改进的混合高斯模型更新算法的可行性-OpenCV-based motion detection techniques I have read some articles, I feel you can, share
Gauss_noise
- 用于生成服从标准正态分布的高斯序列文件,利用混合同余法,生成均匀分布序列再将其转换成高斯序列(Used to generate a Gauss sequence file that obeys the standard normal distribution, and then uses the mixed residual method to generate a uniform distribution sequence, and then converts it into a Gauss
GMM
- 一种改进的混合高斯模型(GMM)算法,加入形态学滤波与团块处理算法,运动目标提取效果良好。(An improved hybrid Gauss model (GMM) algorithm, which combines morphological filtering and blob processing algorithm, achieves good moving target extraction.)
GMM
- 用java实现混合高斯模型,做特征分类,模式识别等应用(The hybrid Gauss model is implemented by Java, and the feature classification and pattern recognition are performed)
EM_GMM
- 用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法(MCEM)的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))
相邻帧差法提取运动目标并计时
- 混合高斯模型提取运动区域算法。。。。。。。。。(Hybrid Gauss model for moving region extraction)
背景差GMM
- opencv,vs2010 利用混合高斯模型,得到运动前景,与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)