A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States.
Aditya TulsyanBiao HuangR. Bhushan GopaluniJ. Fraser ForbesPublished in: IEEE Trans. Aerosp. Electron. Syst. (2013)
Keyphrases
- particle filter
- object tracking
- particle filtering
- hidden states
- visual tracking
- markov chain monte carlo
- hidden markov models
- motion model
- state space
- monte carlo
- data association
- kalman filter
- appearance model
- image sequences
- bayesian inference
- mean shift
- gaussian mixture model
- motion parameters
- em algorithm
- markov chain
- motion estimation
- learning algorithm