Biologically inspired motion detection neural network models evolved using genetic algorithms.
Sherif AzaryPeter G. AndersonRoger S. GaborskiPublished in: AIPR (2009)
Keyphrases
- biologically inspired
- motion detection
- neural network model
- neural network
- detection algorithm
- artificial neural networks
- image sequences
- receptive fields
- video surveillance
- genetic algorithm
- network architecture
- background subtraction
- motion estimation
- object tracking
- biologically plausible
- rbf neural network
- surveillance system
- humanoid robot
- neural models
- multilayer perceptron
- learning rules
- multiscale
- video sequences
- spiking neural networks
- flow field
- back propagation
- reinforcement learning
- visual cortex
- feature selection