On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking.
Waqas AftabLyudmila MihaylovaPublished in: FUSION (2020)
Keyphrases
- gaussian process
- target tracking
- gaussian processes
- training data
- covariance function
- gaussian process regression
- regression model
- bayesian framework
- data fusion
- kalman filter
- model selection
- latent variables
- mean shift
- hyperparameters
- multi sensor
- particle filter
- semi supervised
- prior knowledge
- training set
- object tracking
- video camera
- data sets
- moving target
- dynamical model
- data association
- learning algorithm
- infrared
- support vector
- dynamical models
- human motion
- closed form
- sample size
- higher order