A strong tracking predictor for nonlinear processes with input time delay.
D. WangD. H. ZhouY. H. JinSi-Zhao Joe QinPublished in: Comput. Chem. Eng. (2004)
Keyphrases
- tracking error
- nonlinear systems
- lyapunov function
- particle filter
- real time
- object tracking
- neural network
- mean shift
- kalman filter
- appearance model
- robust tracking
- manifold embedding
- tracking accuracy
- real time tracking
- nonlinear functions
- visual tracking
- control scheme
- motion model
- process model
- linear predictors
- input data
- artificial neural networks
- motion segmentation
- control method
- moving target
- partial occlusion
- computational models
- highly nonlinear
- nonlinear equations
- computer vision