RT Journal Article
T1 Smart motion detection sensor based on video processing using self-organizing maps
A1 Ortega-Zamorano, Francisco
A1 Molina-Cabello, Miguel Ángel
A1 López-Rubio, Ezequiel
A1 Palomo-Ferrer, Esteban José
K1 Detectores
K1 Procesado de imágenes
AB Most current approaches to computer vision are based on expensive, high performance hardware to meet the heavy computational requirements of the employed algorithms. These system architectures are severely limited in their practical application due to financial and technical limitations. In this work a different strategy is used, namely the development of an inexpensive and easy to deploy computer vision system for motion detection. This is achieved by three means. First of all, an affordable and flexible hardware platform is employed. Secondly, the motion detection algorithm is specifically tailored to involve a very small computational load. Thirdly, a fixed point programming paradigm is followed in implementing the system so as to further reduce the computational requirements. The proposed system is experimentally compared to the standard motion detector for a wide range of benchmark videos. The reported results indicate that our proposal attains substantially better performance, while it remains affordable and easy to install in practice.
PB Elsevier
YR 2016
FD 2016
LK https://hdl.handle.net/10630/29694
UL https://hdl.handle.net/10630/29694
LA eng
NO Ortega-Zamorano, F., Molina-Cabello, Miguel A., López-Rubio, E., & Palomo, E.A. (2016). Smart motion detection sensor based on video processing using self-organizing maps. Expert Systems with Applications, 64, 476-489. https://doi.org/10.1016/j.eswa.2016.08.010
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026