A Graphical Model for unifying tracking and classification within a multimodal Human-Robot Interaction scenario.
Tobias RehrlJürgen GastNikolaus TheißingAlexander BannatDejan ArsicFrank WallhoffGerhard RigollChristoph MayerBernd RadigPublished in: CVPR Workshops (2010)
Keyphrases
- graphical models
- human robot interaction
- belief propagation
- probabilistic inference
- probabilistic model
- random variables
- probabilistic graphical models
- bayesian networks
- map inference
- human robot
- gesture recognition
- pointing gestures
- conditional random fields
- approximate inference
- nonparametric belief propagation
- motion analysis
- markov networks
- structure learning
- factor graphs
- particle filter
- object tracking
- conditional independence
- model selection
- exact inference
- probability distribution
- incremental learning
- machine learning
- conditional dependencies
- gaussian graphical models
- humanoid robot
- multi modal
- service robots
- feature space
- mean shift