A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods.
Waqas AftabAllan De FreitasMahnaz ArvanehLyudmila MihaylovaPublished in: DSP (2017)
Keyphrases
- object tracking
- gaussian process
- approximate inference
- gaussian processes
- image sequences
- particle filter
- regression model
- appearance model
- mean shift
- video sequences
- bayesian framework
- latent variables
- hyperparameters
- model selection
- semi supervised
- moving objects
- sparse representation
- visual tracking
- computer vision
- maximum likelihood
- particle filtering
- cross validation
- image processing
- data mining