RT Conference Proceedings
T1 Color Space Selection for Self-Organizing Map Based Foreground Detection in Video Sequences
A1 López-Rubio, Francisco Javier
A1 López-Rubio, Ezequiel
A1 Luque-Baena, Rafael Marcos
A1 Domínguez-Merino, Enrique
A1 Palomo-Ferrer, Esteban José
K1 Modelos matemáticos
AB The selection of the best color space is a fundamental task in detecting foreground objects on scenes. In many situations, especially on dynamic backgrounds, neither grayscale nor RGB color spaces represent the best solution to detect foreground objects. Other standard color spaces,such as YCbCr or HSV, have been proposed for background modeling in the literature; although the best results have been achieved using diverse color spaces according to the application, scene, algorithm, etc. In this work, a color space and color component weighting selection process is proposed to detect foreground objects in video sequences using self-organizing maps. Experimental results are also provided using well known benchmark videos.
YR 2014
FD 2014-07-18
LK http://hdl.handle.net/10630/7869
UL http://hdl.handle.net/10630/7869
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