A 2-step algorithm for the estimation of time-varying single particle tracking models using Maximum Likelihood.
Boris I. GodoyYe LinJuan C. AgüeroSean B. AnderssonPublished in: ASCC (2019)
Keyphrases
- maximum likelihood
- parameter estimation
- estimation algorithm
- expectation maximization
- cost function
- dynamic programming
- preprocessing
- detection algorithm
- np hard
- em algorithm
- k means
- simulated annealing
- maximum likelihood estimation
- worst case
- kalman filter
- optimization algorithm
- particle filter
- target tracking
- probabilistic model
- gaussian distribution
- proposal distribution
- parametric models
- likelihood function
- learning algorithm
- particle filtering
- motion segmentation
- appearance model
- model selection
- least squares
- computational complexity
- decision trees