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Ortega-Zamorano, Francisco Molina-Cabello, Miguel Ángel López-Rubio, Ezequiel Palomo-Ferrer, Esteban José 2024-02-02T10:15:22Z 2024-02-02T10:15:22Z 2016 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 https://hdl.handle.net/10630/29694 10.1016/j.eswa.2016.08.010 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. eng open access Detectores Procesado de imágenes Smart motion detection sensor based on video processing using self-organizing maps journal article