A model-switching sequential Monte Carlo algorithm for indoor tracking with experimental RSS data.
Katrin AchuteguiJavier RodasCarlos J. EscuderoJoaquín MíguezPublished in: IPIN (2010)
Keyphrases
- sequential monte carlo
- input data
- probabilistic model
- prior knowledge
- probability distribution
- energy function
- kalman filter
- parameter estimation
- prior information
- dynamic programming
- incomplete data
- em algorithm
- learning algorithm
- incremental learning
- particle filtering
- bayesian framework
- particle filter
- k means
- importance sampling
- tracking framework
- high dimensional data
- posterior probability
- visual tracking
- search space
- optimal solution
- training data