Joint detection and tracking for stealth targets in noisy imagery based on variational Bayesian-sequential Monte Carlo-cardinality-balanced multitarget multi-Bernoulli filter.
Ibrahim M. SalimMohamed BarbaryMohamed H. Abd El AzeemPublished in: J. Electronic Imaging (2020)
Keyphrases
- sequential monte carlo
- joint detection
- particle filter
- multiple targets
- visual tracking
- exponential family
- particle filtering
- dirichlet process
- mixture model
- incomplete data
- posterior distribution
- object tracking
- computer vision
- order statistics
- noise reduction
- high resolution
- appearance model
- mean shift
- data association
- probability distribution
- video sequences
- graphical models
- moving target
- bayesian framework
- kalman filter
- motion model
- model selection