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这个是应用混合高斯的背景建模的方法进行的目标检测的程序,需要应用opencv.供大家交流交流-this is the application of Gaussian mixture of the background modeling method for the detection procedures, opencv needed. for the exchange of exchange
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混合高斯背景建模用于检出背景，并提取前景，在OPENCV环境下操作进行的。是数字图像处理领域不可缺少的一种处理方式。OPENCV库里含有的函数在数字图像中的作用都是不可获取的，用起来简单又便捷，建议OPENCV从头认真学起-Gaussian mixture background modeling for the detection of background and foreground extraction, OPENCV environment in the operation. The f
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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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混合高斯模型，用于背景建模的程序，使用时请安装OPENCV,Gaussian mixture model for background modeling procedure, the use of when you install OPENCV
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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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混合高斯建模，基于OPENCV，调试通过，对初学都有很大帮助-Gaussian mixture modeling, based on OPENCV, debugging through, is very helpful for beginners
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基于VC6.0编程的混合高斯模型，采用OpenCV技术 可以对摄像头数据 或是本地avi视频数据进行处理。-Programming based on Gaussian mixture model VC6.0 using OpenCV camera technology data can be local or avi video data for processing.
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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
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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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运用高斯混合背景法对背景建模的背景差分法运动目标检测。-Background method using Gaussian mixture background modeling background subtraction method to detect moving targets.
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利用opencv高斯混合背景建模，并进行开闭运算滤波， 提取视频监控中的车辆(Using opencv Gaussian mixture background modeling and opening and closing operation filtering to extract vehicles in video surveillance)
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