2026-05-29T23:07:26Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/122842026-02-03T12:32:06Zcom_10630_2254col_10630_37959

Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments Molina-Cabello, Miguel Ángel López-Rubio, Ezequiel Luque-Baena, Rafael Marcos Domínguez-Merino, Enrique Palomo-Ferrer, Esteban José Algoritmos computacionales 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. 2016-10-26T08:59:08Z 2016-10-26T08:59:08Z 2016-10-26T08:59:08Z conference output http://hdl.handle.net/10630/12284 eng International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 San Sebastian (Spain) Octubre 2016 open access by-nc-nd