Static Parameter Estimation on SO(3) using Stochastic Gradient Descent for Visual Tracking.
Torstein A. MyhrePublished in: ECC (2019)
Keyphrases
- parameter estimation
- visual tracking
- stochastic gradient descent
- least squares
- particle filtering
- particle filter
- appearance model
- video sequences
- loss function
- mean shift
- matrix factorization
- maximum likelihood
- markov random field
- random forests
- model selection
- step size
- data association
- importance sampling
- approximate inference
- state estimation
- object tracking
- em algorithm
- posterior distribution
- support vector machine
- markov chain monte carlo
- multiple kernel learning
- optical flow
- learning algorithm
- expectation maximization
- regularization parameter
- objective function
- multiscale