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Adaptivebackgroundmixtureodelsforrealtimetracking.
- 一篇关于混合高斯建模的方法,很经典,从中可以学到很多东西
GMM.rar
- 混合高斯建模是背景建模中的一种经典方法,对复杂背景具有较好的适应性!,Gaussian mixture modeling is modeling in the context of a classical method, the complex has better adaptability background!
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- 基于混合高斯背景建模和阴影抑制算法, 可以消除混合背景下的阴影-mixture gaussian model(GMM)
detect
- 基于混合高斯建模的运动检测论文包。内含PDF 和NH格式-Gaussian mixture modeling based on motion detection paper bag.
HTK-digital-SR-system-
- 该系统能够识别连续说出的数字串和若干组姓名。建模是针对子词(sub-word, eg. 音 素),具有一定的可扩充性。当加入一个新名字时,只需修改发音词典和任务语法即可。模 型为连续混合高斯输出,运用语音决策树聚类形成的绑定状态式三音素。-The system is able to recognize continuously spoken digit string and the number of groups name. Modeling is a sub-word (sub-wo
GMM
- 混合高斯背景建模方面不错在资料,值得参考-Gaussian mixture background modeling in the data, it is also useful