An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks.
Giuseppina CarannanteNidhal C. BouaynayaLyudmila MihaylovaPublished in: FUSION (2021)
Keyphrases
- particle filter
- neural network
- object tracking
- visual tracking
- particle filtering
- kalman filter
- state space
- monte carlo
- state estimation
- mean shift
- appearance model
- motion model
- likelihood function
- data association
- multiple hypotheses
- robust visual tracking
- multiple object tracking
- robust tracking
- observation model
- sequential monte carlo
- artificial neural networks
- back propagation
- target tracking
- search algorithm
- importance sampling
- moving object tracking
- rao blackwellized particle filter
- kalman filtering
- abrupt motion
- multi camera
- simultaneous localization and mapping
- multiple targets
- markov chain monte carlo
- multilayer perceptron
- moving objects
- bayesian networks
- learning algorithm
- machine learning