A Fast and Efficient Maximum Power Tracking Combining Simplified State Estimation With Adaptive Perturb and Observe.
Shun-Chung WangHung-Yu PaiGuan-Jhu ChenYi-Hua LiuPublished in: IEEE Access (2020)
Keyphrases
- state estimation
- particle filter
- kalman filter
- kalman filtering
- visual tracking
- particle filtering
- object tracking
- unscented kalman filter
- mean shift
- dynamic systems
- target tracking
- extended kalman filter
- state space model
- image processing
- high dimensional
- machine learning
- sequential importance sampling
- estimation problems
- motion analysis
- appearance model
- motion model
- computationally efficient
- higher order
- search space
- search algorithm
- multiscale