Visual Surveillance of Objects Motion Using GNG

Authors:
José García-Rodríguez;Francisco Flórez-Revuelta;Juan Manuel García-Chamizo
Affiliations:
Department of Computer Technology, University of Alicante, Alicante, Spain 03080;Department of Computer Technology, University of Alicante, Alicante, Spain 03080;Department of Computer Technology, University of Alicante, Alicante, Spain 03080
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

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Topology representing networks

Neural Networks
Self-organizing maps

Self-organizing maps
Three-dimensional surface reconstruction using meshing growing neural gas (MGNG)

The Visual Computer: International Journal of Computer Graphics

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Abstract

Self-organising neural networks preserves the topology of an input space by using their competitive learning. In this work we use a kind of self-organising network, the Growing Neural Gas, to represent non rigid objects as a result of an adaptive process by a topology-preserving graph that constitutes an induced Delaunay triangulation of their shapes. The neural network is used to build a system able to track image features in video image sequences. The system automatically keeps correspondence of features among frames in the sequence using its own structure.