Driver State Estimation Based on Dynamic Bayesian Networks Considering Different Age and Gender Groups.
Ji Hyun YangHyeon Bin JeongJihyuck HanSejoon LimPublished in: AutomotiveUI (adjunct) (2017)
Keyphrases
- state estimation
- dynamic bayesian networks
- particle filtering
- age groups
- particle filter
- visual tracking
- kalman filtering
- bayesian networks
- kalman filter
- dynamic systems
- object tracking
- mean shift
- human motion
- appearance model
- approximate inference
- state variables
- structure learning
- video sequences
- human body
- graphical models
- state space
- probability distribution
- search space