RT Conference Proceedings
T1 Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments
A1 Molina-Cabello, Miguel Ángel
A1 López-Rubio, Ezequiel
A1 Luque-Baena, Rafael Marcos
A1 Domínguez-Merino, Enrique
A1 Palomo-Ferrer, Esteban José
K1 Algoritmos computacionales
AB 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.
LK http://hdl.handle.net/10630/12284
UL http://hdl.handle.net/10630/12284
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 22 ene 2026