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完整的PTZ跟踪算法，包括背景建模，运动目标提取，运动目标大小估计以及跟踪。,Complete PTZ tracking algorithm, including background modeling, moving object extraction, moving object and track size is estimated.
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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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用openCV实现，利用背景建模检测运动目标,opencv，detect motion target using background modeling
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这是背景建模中关于码本模型的经典文章，通过文章可以读者很快了解码本模型。-This is the background modeling yards this model on a classic article, the reader very quickly through the article can decode the model.
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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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此程序是针对视频中的运动目标的检测，程序中包括了背景建模、背景差法等功能的w4背景建模算法。-This procedure is for the video of the moving target detection, process modeling, including the background, the background difference method and other functions of the background modeling algorithm w4.
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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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Player Detection Algorithm Based on Gaussian Mixture Models Background Modeling
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背景建模算法，适合当前最热的智能分析，如目标跟踪等算法-Background modeling algorithms, appropriate to the current hottest intelligent analysis, such as target tracking algorithm
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利用背景建模获得运动前景。本程序提取了运动的前景车辆。并对其二值化。-Using background modeling obtain movement prospects.
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用平均值法对图片序列经行背景建模，并保存。-Method of image sequences with the average background modeling by the line and save. （Attached picture)
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OPENCV的例程，使用OPENCV进行图形图像处理和视频处理，包括图像结构，边缘检测，背景建模等模块-the routine use of OPENCV，including graphical image processing and video processing, image structure, edge detection, background modeling module
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用于视频图像、多帧图像序列背景建模，提取出复杂背景图像！-For video image frames of image sequences, background modeling, extracted from complex background image!
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高斯背景建模Gauss background modeling-Gauss background modeling
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均值背景建模，包含视频！效果还可以，背景建模的还是不错的！-Mean background modeling, including video! Effect can be, background modeling is good!
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background modeling back ground removal
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随着智能监控技术的快速发展, 基于数字视频的智能视频监控系统代替原来的人力监控在越来越多的公共场所获得了应用。然而, 在实际的户外监控环境下, 由于光线变化以及初始背景样本的多样性, 难以建立良好的背景样本。针对上述问题, 提出了一种自适应的背景建模方法。其中自适应指两个方面: 第一 背景的自动更新 第二, 不需要使用背景帧样本作为模型训练的输人。在此基础上, 建立了针对户外交通环境的智能车辆监控系统。实验结果表明, 上述方法在动态场景的车辆检测中取得了较好的效果。-With the rapid
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基于LBP纹理算子的背景建模，以及对应的参考文献。-LBP texture operator based background modeling, as well as the corresponding references.
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使用均值方法剔除运动前景物体，达到背景建模的效果，此方法前景物体剔除比较干净-The mean value method is used to eliminate the foreground object, which can achieve the effect of background modeling.
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