A novel algorithm for adapting the number of particles in particle filtering.
Victor ElviraJoaquín MíguezPetar M. DjuricPublished in: SAM (2016)
Keyphrases
- particle filtering
- learning algorithm
- visual tracking
- particle filtering algorithm
- proposal distribution
- kalman filter
- objective function
- optimal solution
- video tracking
- density function
- bayesian framework
- particle filter
- state estimation
- kalman filtering
- dynamic programming
- simulated annealing
- optimization algorithm
- estimation algorithm
- object tracking
- importance sampling
- contour tracking
- expectation maximization
- image classification
- tracking scheme
- computer vision