RT Conference Proceedings
T1 Neural Controller for PTZ cameras based on nonpanoramic foreground detection
A1 Molina-Cabello, Miguel Ángel
A1 López-Rubio, Ezequiel
A1 Luque-Baena, Rafael Marcos
A1 Domínguez-Merino, Enrique
A1 Thurnhofer-Hemsi, Karl
K1 Teledetección
AB Abstract—In this paper a controller for PTZ cameras based on an unsupervised neural network model is presented. It takes advantage of the foreground mask generated by a nonparametric foreground detection subsystem. Thus, our aim isto optimize the movements of the PTZ camera to attain the maximum coverage of the observed scene in presence of moving objects. A growing neural gas (GNG) is applied to enhance the representation of the foreground objects. Both qualitative and quantitative results are reported using several widely used datasets, which demonstrate the suitability of our approach.
YR 2017
FD 2017-05-29
LK http://hdl.handle.net/10630/13760
UL http://hdl.handle.net/10630/13760
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