Approximating Sample State Vectors Using the ESPT for Computationally Efficient Particle Filtering.
Sanat K. BiswasAndrew G. DempsterPublished in: IEEE Trans. Signal Process. (2019)
Keyphrases
- particle filtering
- computationally efficient
- state estimation
- visual tracking
- particle filter
- conditional density
- human motion capture
- kalman filter
- contour tracking
- kalman filtering
- state space
- object tracking
- bayesian filtering
- human motion
- ego motion estimation
- dynamic bayesian networks
- multiple targets
- swarm intelligent
- appearance model
- feature vectors
- importance sampling
- mean shift
- video tracking
- sequential monte carlo
- articulated body
- reinforcement learning
- bayesian networks
- feature selection