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视频监控，图像序列运动目标识别。基于多高斯背景模型，可实时实现运动目标的自动检测。-video surveillance, image sequence moving target identification. For more background Gaussian model, the immediate goal of the campaign to achieve automatic detection.
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关于高斯混合模型（GMM）的matlab源代码：,On the Gaussian mixture model (GMM) of the matlab source code:
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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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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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此代码实现了基于码书的背景建模法在运动目标检测中的运用,This code implementation code book based on background modeling method in target detection exercise in the use of
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混合高斯模型，建立背景模型，从而可以分离前景与背景,Gaussian mixture model, background model, which can be separated from foreground and background
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混合高斯背景建模的实现程序,Matlab编写,运算速度极慢，但可作为理解算法的示例代码.系作者参加SJTU PRP项目时所写。此代码已在原项目中不再使用。-The realization of Gaussian mixture background modeling procedure, Matlab writing, computing speed is very slow, but the understanding of the algorithm can be used as sampl
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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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本码源是针对于单高斯模型算法做的运动目标检测，其中实现了背景建模、背景更新和目标检测的步骤实现。-The source code is in the single-Gaussian model for the algorithm to do the moving target detection, in which the realization of the background modeling, background to update and steps to achieve targe
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vc++和opencv,运用高斯建模的方法对场景进行背景建模，背景差分。从而检测出运动的物体，如机动车辆、行人，烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc.
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描述了在高斯白噪背景下，对直扩信号进行检测所采用的方法和仿真流程。-Describes the Gaussian white noise in the background, on the Direct Sequence Spread Spectrum Signal detection methods and simulation process.
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多高斯模型是检测运动目标的一种背景消减的方法,matlab实现-Multi-Gaussian model is a moving target detection background abatement methods, matlab achieve
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混合高斯模型建模，对视频中背景进行混合高斯建模，在摄像机不动的环境中应用广泛-Gaussian Mixture Modeling of video Gaussian mixture background modeling, at the fixed cameras are widely used environment
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OPENCV 的 高斯背景提取，可以方便的进行背景建模与分析-Extraction of the Gaussian background OPENCV, to facilitate the conduct of background modeling and analysis
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This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
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This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
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Implementation of background subtraction algorithm using Gaussian mixture model.
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通过单高斯来建立背景，然后用背景减法来提取情景，并对前景进行跟踪和计数。-We establis the background through the method of singal Gaussian,then use the background substration to get foreground,we are also successed to get the counts of cars and to track the cars.
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高斯背景建模，可以处理单通道或者多通道图像，效果不错，完整注释-Gaussian background modeling, support single channel or multiple channel
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基于混合高斯背景模型的背景剪除法，可以对背景进行实时的更新实现对前景的检测-Background model based on Gaussian mixture background pruning method, the background can be updated in real time to achieve the detection of future
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