Automatic bone parameter estimation for skeleton tracking in optical motion capture.
Tobias SchubertKatharina EggenspergerAlexis GkogkidisFrank HutterTonio BallWolfram BurgardPublished in: ICRA (2016)
Keyphrases
- parameter estimation
- optical motion capture
- maximum likelihood
- position estimation
- human motion
- least squares
- em algorithm
- model selection
- parameter estimation algorithm
- statistical models
- markov random field
- parameter values
- expectation maximization
- particle filtering
- particle filter
- posterior distribution
- model fitting
- visual tracking
- estimation problems
- object tracking
- appearance model
- object recognition
- three dimensional
- feature selection
- random fields
- approximate inference
- data mining
- higher order
- computer vision