An approach to automatic real-time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi-Sugeno fuzzy systems.
Plamen P. AngelovPouria Sadeghi-TehranRamin RamezaniPublished in: Int. J. Intell. Syst. (2011)
Keyphrases
- fuzzy systems
- density estimation
- takagi sugeno
- real time
- fuzzy model
- fuzzy rules
- computational intelligence
- fuzzy control
- neural network
- mixture model
- evolutionary computation
- neuro fuzzy
- fuzzy inference system
- soft computing
- rule base
- controller design
- fuzzy modeling
- nonlinear systems
- artificial neural networks
- gaussian mixture model
- control system
- particle filter
- fuzzy controller
- transfer function
- object recognition
- genetic programming
- image matching
- machine learning