Name
Abstract | ||
|---|---|---|
The Self-Organising Artificial Neural Network Models, of which we have used the Growing Neural Gas (GNG) can be applied to preserve the topology of an input distribution. Traditionally these models neither do include local adaptation of the nodes nor colour information. In this paper, we present an extension to the original growing neural gas network that has probabilistic features and can be applied to preserve the topology of a non-stationary distribution. The network consists of the geometrical position of the nodes, the underline local feature structure of the image, and the distance vector between the modal image and any successive images. Accurate correspondence of the nodes between successive images, is measured through the calculation of the topographic product. The method performs continuously mapping over a distribution that changes over time and works with both smooth and abrupt changes. The method is successfully applied to object modelling and tracking. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IJCNN.2010.5596992 | IJCNN |
Keywords | Field | DocType |
gesture tracking,nonstationary distribution,probabilistic features,distance vector,geometrical position,self-organising artificial neural network models,local feature structure,tracking,object detection,probabilistic self-organising network,gesture recognition,self-organising feature maps,modal image object modelling,growing neural gas,probability,topology,stationary distribution,skin,probabilistic logic,shape,artificial neural network,network topology | Computer science,Gesture recognition,Artificial intelligence,Probabilistic logic,Artificial neural network,Computer vision,Object detection,Pattern recognition,Object model,Network topology,Machine learning,Neural gas,Distance-vector routing protocol | Conference |
ISSN | ISBN | Citations |
1098-7576 | 978-1-4244-6916-1 | 2 |
PageRank | References | Authors |
0.38 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anastassia Angelopoulou | 1 | 102 | 21.29 |
| Alexandra Psarrou | 2 | 199 | 27.14 |
| José García Rodríguez | 3 | 192 | 29.10 |
| Gaurav Gupta | 4 | 14 | 7.06 |