Neural AILC for Error Tracking Against Arbitrary Initial Shifts.
Mingxuan SunTao WuLejian ChenGuofeng ZhangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- visual tracking
- real time
- neural network
- particle filter
- network architecture
- challenging sequences
- error rate
- deformable objects
- appearance model
- real time tracking
- moving target
- particle filtering
- data sets
- tracking error
- bio inspired
- associative memory
- motion analysis
- kalman filter
- object tracking
- motion detection
- error bounds
- target tracking
- motion tracking
- motion model
- neural model
- mean shift
- image sequences
- error accumulation