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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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基于opencv的高斯背景提取法，包括源代码和注释-Opencv-based Gaussian background subtraction method to extract
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基于graphcut的背景建模程序，其中具备阴影去除功能，建模时对rgb三个颜色通道进行了高斯模型训练。程序需要OpenCV 1.0 的支持。-This is a C implementation of background subtraction given a set of background frames as a training set.The background model is per-pixel RGB space Gaussian, assuming independenc
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Implementation of background subtraction algorithm using Gaussian mixture model.
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背景消去算法，Mixture of Gaussian frame_difference approximate_median-Background_Subtraction_with_MCS Mixture of Gaussian frame_difference approximate_median
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A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approache
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基于混合高斯模型的背景减除算法实现。matlab代码。-Gaussian mixture model-based background subtraction algorithm. matlab code.
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压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtrac
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利用基于YCbCr空间的高斯模型建立背景，并实时更新，通过背景差分法检测出道路中的运动车辆目标，效果较好。-Gaussian model based on the YCbCr space is used to establish the background, updating in real time. Then background subtraction method is used to detect the target of the movement of vehicles in
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使用背景差分法，采用了高斯滤波法对其进行平滑，然后将视频的第一帧作为背景，其次，对去噪后的图像做帧与背景间的差分运算，再利用阈值分割，将运动目标从背景中提取出来-Using background subtraction, using the Gaussian filtering method was used to smooth, then the first frame of the video as a background, and secondly, the differential e
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利用VC++平台编程，将三帧差法和背景减除法相结合，进行运动目标检测，其中背景减除法运用高斯背景建模-Platform programming VC++ three difference method and background subtraction combined, moving target detection, background subtraction method using Gaussian background modeling
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在VC++6.0的MFC中结合opencv1.0的环境中编写的运动目标检测，采用的是背景差分法，混合高斯背景建模-Combined opencv1.0 environment written in the MFC VC++6.0 moving target detection using background subtraction method, Gaussian mixture background modeling
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基于背景减除法的混合高斯背景建模，用于检测运动目标-Gaussian mixture background modeling based on background subtraction method for detecting moving targets
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Background Subtraction using Adaptive Gaussian Mixture Model
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本程序采用matlab编码，一共有包括帧间差分法、背景差分法、光流法、混合高斯模型法四种方法来实现红外目标检测的功能，代码检测易懂，适合初学者多多借鉴~-This procedure using matlab coding, a total including the inter-frame difference, background subtraction, optical flow method, Gaussian mixture model approach are four ways
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混合高斯背景模型，背景差法，检测运动目标，环境VC2008，Opencv，前景与背景分开显示-Gaussian mixture background model background subtraction method to detect moving targets
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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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内含visual C++和MATLAB代码，利用高斯呼喝模型进行背景建模，自适应确定高斯分量的个数，由Z.Zivkovic开发，相关文章是 Improved adaptive Gausian mixture model for background subtraction-Containing visual C++ and MATLAB code, the use of Gaussian background modeling feeding model, adaptive determine
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视频图像处理，采用背景减除法中单高斯建模进行前景和背景的分离-Video image processing, background subtraction method using a single Gaussian modeling conducted foreground and background separation
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视频图像处理，采用背景减除法中混合高斯建模进行视频前景和背景的分离-Video image processing, background subtraction method using Gaussian mixture modeling to separate the foreground and background video
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