State space partitioning based on constrained spectral clustering for block particle filtering.
Rui MinChristelle GarnierFrançois SeptierJohn KleinPublished in: CoRR (2022)
Keyphrases
- particle filtering
- constrained spectral clustering
- particle filter
- state space
- visual tracking
- object tracking
- spectral clustering
- dynamic programming
- reinforcement learning
- kalman filter
- heuristic search
- proposal distribution
- state variables
- monte carlo
- mean shift
- markov chain
- dynamic bayesian networks
- appearance model
- label propagation
- bayesian filtering
- constrained clustering
- graph partitioning
- search space
- object recognition
- data sets
- clustering method
- data analysis
- pairwise constraints
- image sequences