Abstract
A neural architecture is presented, aimed to describe the dynamic evolution of complex structures inside a video sequence. The proposed system is arranged as a tree of self-organizing maps. Leaf nodes are implemented by ARSOM networks as a way to code dynamic inputs, while classical SOM’s are used to implement the upper levels of the hierarchy. Depending on the application domain, inputs are made by suitable low level features extracted frame by frame of the sequence. Theoretical foundations of the architecture are reported along with a detailed outline of its structure, and encouraging experimental results.
Cite
CITATION STYLE
Chella, A., Guarino, M. D., & Pirrone, R. (2001). Description of dynamic structured scenes by a SOM/ARSOM hierarchy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2130, pp. 1034–1041). Springer Verlag. https://doi.org/10.1007/3-540-44668-0_143
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
