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本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
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里面包含的GMM等众多Matlab源程序，可以直接调用，均以应用为函数的命名，可以直接了解其用处，对于做图像处理的很有帮助，可以直接调用。-Which contains the GMM and many Matlab source code can be called directly, are applied to the function name, can understand its usefulness, useful for doing image processing, can b
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根据GMM经典论文Adaptive background mixture models for real-time tracking写的matlab源码，利用GMM背景建模并提取车辆，完全忠实于原论文-According GMM classic paper Adaptive background mixture models for real-time tracking matlab source code written using GMM background modeling and ex
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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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高斯混合模型用于混合像元分解全过程，包括训练样本选取、筛选、分解及精度评定。matlab实现-the matlab code of GMM for mixed pixels unmixing
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EM算法估计GMM的matlab版本的源代码,适合给类机器学习问题,-EM algorithm to estimate GMM version of the matlab source code, suitable for such machine learning problems,
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EM algorithm to estimate GMM version of the matlab source code, suitable for such machine learning problems,
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