A low-complexity visual tracking approach with single hidden layer neural networks.
Liang DaiYuesheng ZhuGuibo LuoChao HePublished in: ICARCV (2014)
Keyphrases
- low complexity
- visual tracking
- single hidden layer
- neural network
- feedforward neural networks
- activation function
- extreme learning machine
- feed forward neural networks
- hidden layer
- particle filter
- back propagation
- video sequences
- mean shift
- appearance model
- motion estimation
- artificial neural networks
- hidden neurons
- fuzzy logic
- object tracking
- pattern recognition
- computational complexity
- feed forward
- multilayer perceptron
- radial basis function
- neural network model
- hidden nodes
- network architecture
- recurrent neural networks
- neural nets
- learning rate
- rbf neural network
- single layer
- sparse representation
- maximum likelihood
- feature space
- real time