Name
Title | ||
|---|---|---|
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments. |
Abstract | ||
|---|---|---|
Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which uses a uniform distribution to represent the foreground. A suitable set of characteristic pixel features is chosen to train the probabilistic model. Our approach has been compared to some competing methods on a test set of benchmark videos, with favorable results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-47364-2_24 | INTERNATIONAL JOINT CONFERENCE SOCO'16- CISIS'16-ICEUTE'16 |
Keywords | Field | DocType |
Foreground detection,Background modeling,Probabilistic self-organising maps,Background features | Pattern recognition,Computer science,Uniform distribution (continuous),Self-organizing map,Foreground detection,Statistical model,Artificial intelligence,Pixel,Probabilistic logic,Test set | Conference |
Volume | ISSN | Citations |
527 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel A. Molina-Cabello | 1 | 14 | 5.56 |
| Ezequiel López-Rubio | 2 | 323 | 39.73 |
| Rafael Marcos Luque-Baena | 3 | 96 | 13.24 |
| Enrique Domínguez | 4 | 133 | 21.24 |
| Esteban J. Palomo | 5 | 95 | 14.79 |