A Fast Numerical Fitting Approach to Calculate the Likelihood of Particles in Particle Filters.
Tiancheng LiShudong SunTariq Pervez SattarPublished in: CoRR (2013)
Keyphrases
- proposal distribution
- particle filter
- particle filtering
- quasi monte carlo
- particle filtering algorithm
- likelihood function
- object tracking
- visual tracking
- motion model
- monte carlo
- high dimensional state space
- bayesian filtering
- importance sampling
- feature tracking
- kalman filter
- state estimation
- multiple object tracking
- state space
- density function
- mean shift
- posterior distribution
- robust tracking
- simultaneous localization and mapping
- multiple objects
- data association
- observation model
- appearance model
- least squares
- sequential monte carlo
- computer vision
- human motion
- tracking framework
- latent variables
- articulated body
- variance reduction
- markov chain monte carlo