Name
Title | ||
|---|---|---|
Knowledge modelling for the motion detection task: the algorithmic lateral inhibition method |
Abstract | ||
|---|---|---|
In this article knowledge modelling at the knowledge level for the task of moving objects detection in image sequences is introduced. Three items have been the focus of the approach: (1) the convenience of knowledge modelling of tasks and methods in terms of a library of reusable components and in advance to the phase of operationalization of the primitive inferences; (2) the potential utility of looking for inspiration in biology; (3) the convenience of using these biologically inspired problem-solving methods (PSMs) to solve motion detection tasks. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.eswa.2004.01.006 | Expert Systems with Applications |
Keywords | Field | DocType |
Knowledge modeling,Problem solving methods,Motion detection,Lateral inhibition | Knowledge modelling,Knowledge level,Motion detection,Computer science,Segmentation,Lateral inhibition,Artificial intelligence,Operationalization,Machine learning,Knowledge modeling | Journal |
Volume | Issue | ISSN |
27 | 2 | 0957-4174 |
Citations | PageRank | References |
26 | 1.09 | 32 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Mira | 1 | 205 | 12.90 |
| Ana E. Delgado | 2 | 243 | 16.85 |
| Antonio Fernández-Caballero | 3 | 1317 | 117.99 |
| Miguel A. Fernández | 4 | 380 | 31.84 |