Human moving behavior estimation from 3-axis accelerometer signal by particle filter with Self-Organizing Map based likelihood.
Norikazu IkomaHiromu HasegawaPublished in: FUSION (2016)
Keyphrases
- particle filter
- self organizing maps
- likelihood function
- state estimation
- importance sampling
- proposal distribution
- extended kalman filter
- object tracking
- visual tracking
- particle filtering
- neural network
- kalman filter
- state space
- motion model
- appearance model
- input data
- observation model
- som neural network
- unsupervised learning
- data association
- mean shift
- maximum likelihood
- growing self organizing map
- image data
- k means
- rao blackwellized particle filter
- moving objects
- simultaneous localization and mapping
- moving target
- dynamic programming
- training data