Mixture Model
A Mixture Model is a probabilistic model that represents the presence of subpopulations within an overall population by combining multiple probability distributions, where each component distribution corresponds to a distinct subpopulation and the model assigns latent membership probabilities to observations.
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Adaptive background mixture models for real-time tracking
Chris Stauffer, W. Eric L. Grimson · 2003 · 6.9K citations
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Carnegie Mellon University
Pittsburgh, United States
45 h-index
167 publications
26.1K citations

Centre National de la Recherche Scientifique
Paris, France
42 h-index
258 publications
18.1K citations
University of Michigan
Ann Arbor, United States
37 h-index
132 publications
12.3K citations

Pennsylvania State University
State College, United States
36 h-index
135 publications
10.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
36 h-index
130 publications
11.2K citations
Duke University
Durham, United States
35 h-index
143 publications
13.1K citations
Tsinghua University
Beijing, China
34 h-index
176 publications
9K citations
University of Washington
Seattle, United States
34 h-index
110 publications
9.6K citations
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107 publications · 22.9K citations
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97 publications · 9.5K citations
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71 publications · 5.6K citations
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TPAMI · 56 publications · 12K citations
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Repository · 128 publications · 5.8K citations
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