搜索资源列表
face
- 人脸检测，基于肤色信息的皮肤区域粗检。自适应高斯模型，-Face detection, skin region based on color information, rough inspection. Adaptive Gaussian model
mtest_new5_simple1
- matlab实现的对样本视频的混合高斯模型的检测代码-Sample video detection code Gaussian mixture model
backgroundmodeling
- 运动目标检测，背景建模，高斯背景建模，对初学者很有帮助-Moving target detection, background modeling, Gaussian background modeling, very helpful for beginners
mixGMMmatlab
- 混合高斯建模方法是目标检测中的一种重要方法- mix gauss detection object
singalframe
- 车辆视频检测，采用高斯背景更新方法，基于OPENCV的图像视频检测算法-Vehicle video detection, the Gaussian background updating method, based on video image detection algorithm OPENCV
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.
yundongjiance
- 运动视频的背景建模与运动物体的检测，包含混合高斯模型和帧差法检测运动物体。使用opencv编写-failed to translate
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
thin
- 30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）-30 image processing VC++ source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretch
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
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
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
边缘检测
- 包含有所有传统图像加有高斯噪声和椒盐噪声边缘检测matlab程序，亲测可用,有canny,sobel,prewitt,roberts,log等算子
mixture_of_gaussian
- 利用混合高斯模型对一个图像序列或视频进行背景的去除，检测运动目标(Using the mixed Gaussian model to remove an image sequence or video background, or detect the moving target.)
GMM
- 混合高斯算法，用opencv3实现，用于对运动目标进行检测 效果还算是不错的，代码通俗易(Hybrid Gauss algorithm)
混合高斯matlab程序
- 基于混合高斯的matlab仿真程序，用于背景提取和运动目标检测！！
mixture_of_gaussians
- 采用高斯混合模型来对目标进行前景检测，并用MATLAB实现。(The Gauss mixture model is used to detect the foreground of the target, and it is implemented by MATLAB.)
mixgauss
- 混合高斯模型图像处理程序,适合应用于运动物体检测等图形处理问题(mix-Gauss model image processing program, suitable for moving object detection and other graphic processing problems)
hunhe
- 采用多个高斯分布的方式来描述背景像素点的特征，在线地更新参数和权重，实现运动检测和前景提取的同步进行，即采用混合高斯背景算法进行建模，以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated online. Synchronization of motion d
BackGround-Fore-Detect
- 包含一些常见的运动目标检测算法，有背景模型算法，混合高斯模型算法，帧差法，经典的CB法，所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.)