Multiple particle filtering for tracking wireless agents via Monte Carlo likelihood approximation.
Stephan SchlupkothenGerd AscheidPublished in: EURASIP J. Adv. Signal Process. (2019)
Keyphrases
- monte carlo
- particle filtering
- particle filter
- importance sampling
- visual tracking
- markovian decision
- multiple targets
- proposal distribution
- object tracking
- multiple objects
- monte carlo simulation
- mean shift
- motion model
- kalman filter
- bayesian filtering
- human body tracking
- sequential monte carlo
- real time tracking
- appearance model
- adaptive sampling
- tracking scheme
- articulated body
- state space
- articulated hand
- observation model
- markov chain monte carlo
- tracking framework
- human motion
- video tracking
- markov chain
- variance reduction
- machine learning
- data association
- robust object tracking
- maximum likelihood
- simultaneous localization and mapping
- robust tracking
- reinforcement learning
- three dimensional
- computer vision