Measurement-Guided Likelihood Sampling for Grid-Based Bayesian Tracking.
Jason Matthew AughenbaughBrian La CourPublished in: J. Adv. Inf. Fusion (2010)
Keyphrases
- proposal distribution
- particle filter
- sequential monte carlo
- particle filtering
- likelihood model
- visual tracking
- maximum likelihood
- feature tracking
- posterior probability
- tracking framework
- kalman filter
- bayesian estimation
- motion model
- object tracking
- bayesian filtering
- spatial and temporal resolution
- monte carlo
- bayesian formulation
- robust tracking
- posterior distribution
- real time
- bayesian inference
- prior probabilities
- articulated object tracking
- appearance model
- mean shift
- probabilistic model
- deformable objects
- markov chain monte carlo
- gaussian processes
- random sampling
- motion segmentation
- real time tracking
- motion analysis
- bayesian framework
- action recognition
- bayesian networks
- neural network