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基于c++的，运用opencv开发包的高斯混合模型，用于视频中运动物体的检测,Based on c++ And use the development package opencv Gaussian mixture model for moving objects in video detection
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利用阴影的灰度特性，在视频序列中去除运动物体所留下的阴影
环境为vc++6.0 ，opencv
去阴影,Use of the shadow of the gray-scale characteristics of video sequences in the removal of moving objects left behind by the shadow environment vc++ 6.0, opencv to shadow
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自己采用opencv编写的程序，该程序主要实现运动目标的检测，采用背景减法里面的GMM混合高斯模型,Opencv prepared to adopt its own procedures, the procedures for major sports achieve target detection using background subtraction inside GMM Gaussian Mixture Model
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学习opencv图像处理中人体目标跟踪的一些很有用的资料，主要是讲camshift,meanshift和高斯混合模型。-Learning opencv image-processing for target tracking in the human body a number of very useful information, mainly speaking camshift, meanshift and Gaussian mixture model.
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基于opencv实现的混合高斯背景建模，C++程序-gaussian mixture model for background modeling
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图像的操作，及视频流的相关操作，基于opencv，运动目标检测，中值滤波，高斯背景模型，混合高斯模型-The operation of the image, and video streams related operations, based on the opencv, motion detection, median filtering, Gaussian background model, Gaussian mixture model
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是关于高斯混合模型的背景建模程序，是关于opencv改进的，自己编程的程序。-Gaussian mixture model on the background modeling procedure is about opencv improved, their own programming procedures.
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OPENCV下基于高斯混合模型的图像分割，程序中还有
基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
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本程序是对混合高斯模型的改进，从RGB空间转化到HSV空间。运行时要装OPENCV-This program is a Gaussian mixture model improvement, space conversion from RGB to HSV space
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Visual C++ 与 Opencv 联合实现的混合高斯模型背景提取与更新。-Opencv Visual C++ and the joint implementation of the Gaussian mixture model background extraction and updating.
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基于OpenCV与混合高斯建模的运动目标检测,大体介绍使用opencv库，来进行混合搞死建模运动目标检测-Gaussian mixture model based on OpenCV and moving target detection, general introduction to use opencv library to model mixed Gaosi moving target detection
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混合高斯模型原理，以及OpenCV实现的源代码，以及注释-Gaussian mixture model principle, and the realization of the source code
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使用openCV写的高斯混合模型前景分离作业。-Extract the foreground from video sequence using Gaussian Mixture Model（GMM）with openCV.
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用opencv编写的GMM，用于进行前景检测，人物探测，目标跟踪-Gaussian Mixture Model for human tracking
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opencv中运动目标检测经典算法高斯混合模型源代码及注释-Gaussian mixture model opencv moving target detection classical algorithm source code and Notes
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这个是使用Opencv来做模式识别的一个程序，调用opencv里面的高斯混合模型-This is to use Opencv to do a pattern recognition program, call opencv inside the Gaussian mixture model
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利用混合高斯模型进行运动跟踪的源代码，vc++和opencv，需要有摄像头支持。-The use of Gaussian mixture model motion tracking the source code vc++ and opencv, camera support.
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opencv 基于高斯混合模型的运动目标检测算法-opencv Gaussian mixture model based moving object detection algorithm
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OpenCV 基于混合高斯模型GMM的运动目标检测-OpenCV based on Gaussian mixture model GMM moving target detection
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背景建模 混合高斯模型 opencv代码和matlab代码-Background modeling Gaussian mixture model opencv code and matlab code
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