Gaussian mixture model

lastmod 2018-08-17created 2014-10-2314 edits

A Gaussian mixture model is a density estimation method that improves on modeling the distribution density of a given sample data set with only a single probability density function; it models the distribution of the data with special Gaussian probability density functions.

See also

• Gaussian distribution
• Expectation Maximization
• Background subtraction
• cv::BackgroundSubtractorMOG2

Favorite site

• Gaussian mixture model by intencelove
• Gaussian Mixture Models by iskim3068
• Learning about the Gaussian mixture model GMM – Overview (1) ¹
• Learning about the Gaussian mixture model GMM – Overview (2) ²
• Pattern recognition: Gaussian mixture model
• OpenCV GMM Gaussian Mixture Model foreground/background separation
• Machine Learning study (13) Clustering (K-means, Gaussian Mixture Model) ^{3 4}

Implementation

• Codeproject: Extended GMM for Background Subtraction on GPU
• [Recommended] Gaussian Mixture Models + EM algorithm - Demo
• Image Recoloring using Gaussian Mixture Model and Expectation Maximization (OpenCV)
• Github: gpsinghsandhu/Background-Subtraction-using-GMM

References