Clustering Methods for Particle Filters With Gaussian Mixture Models.
Sehyun YunRenato ZanettiPublished in: IEEE Trans. Aerosp. Electron. Syst. (2022)
Keyphrases
- gaussian mixture model
- particle filter
- mixture model
- visual tracking
- object tracking
- particle filtering
- state space
- likelihood function
- monte carlo
- em algorithm
- multiple object tracking
- appearance model
- maximum likelihood
- kalman filter
- expectation maximization
- feature vectors
- bayesian filtering
- speaker recognition
- abrupt motion
- gaussian mixture
- mean shift
- covariance matrices
- bayesian inference
- gaussian distribution
- feature space
- density estimation
- machine learning
- markov chain monte carlo
- quasi monte carlo
- probability density function
- reinforcement learning
- probability density
- generative model
- feature extraction