Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks.
Jorge García-GonzálezJuan Miguel Ortiz-de-Lazcano-LobatoRafael M. Luque-BaenaEzequiel López-RubioPublished in: ECAI (2020)
Keyphrases
- 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