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视频背景非参数估计论文及matlab实现.matlab代码只实现了灰度图的背景估计，论文利介绍的彩色视频处理方法可以自己看看怎么做。-Background and Foreground Modeling Using
Nonparametric Kernel Density Estimation for
Visual Surveillance
AHMED ELGAMMAL, RAMANI DURAISWAMI, MEMBER, IEEE, DAVID HARWOOD, AND
LA
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"This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides concepts and results in measure-theoretic probability theory that are useful in
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Bartlett power spectrum estimation (Nonparametric methods for power spectrum estimation)
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Kernel Density Estimation (Set of tools for nonparametric (kernel) density estimation)
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Modern Spectrum Estimation
Nonparametric Methods
Minimum Variance Spectrum Estimation etc.
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：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常
重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰
度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情
况下仍能实现稳定、实时的跟踪目标。-: Mean-shift algorithm is a nonparametric density estimat
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A blind source separation algorithm is proposed
that is based on minimizing Renyi’s mutual information by means
of nonparametric probability density function (PDF) estimation.
The two-stqge process consists of spatial whitening
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用于计算样本数据的非参数核密度估计，代码简单易懂。(Nonparametric kernel density estimation)
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