Tracking human motion using auxiliary particle filters and iterated likelihood weighting.
Stephen J. McKennaHammadi Nait-CharifPublished in: Image Vis. Comput. (2007)
Keyphrases
- human motion
- particle filtering
- particle filter
- proposal distribution
- human motion tracking
- articulated body
- likelihood function
- human body
- motion capture
- video sequences
- markerless
- visual tracking
- bayesian filtering
- body parts
- image sequences
- tracking framework
- robust tracking
- motion sequences
- dynamical model
- spatio temporal
- object tracking
- dynamical models
- maximum likelihood
- motion model
- multiple object tracking
- sequential monte carlo
- articulated human motion
- motion capture data
- face tracking
- multiple targets
- human pose
- gait recognition
- kalman filter
- motion synthesis
- human actions
- appearance model