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Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks.
Jorge García-González
Juan Miguel Ortiz-de-Lazcano-Lobato
Rafael M. Luque-Baena
Ezequiel López-Rubio
Published in:
ECAI (2020)
Keyphrases
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semantic information
mixture model
foreground detection
gaussian mixture model
generative model
probabilistic model
background subtraction
em algorithm
wordnet
density estimation
domain knowledge
keywords
model selection
expectation maximization
unsupervised learning
metadata
maximum likelihood
video surveillance
language model
probability density function
low level features
bayesian networks
foreground objects
low level
background model
high level
xml documents
moving objects
feature selection
image processing
image segmentation
visual features
data sets