RT Journal Article
T1 The effect of downsampling-upsampling strategy on foreground detection algorithms
A1 Molina-Cabello, Miguel Ángel
A1 García-González, Jorge
A1 Luque-Baena, Rafael Marcos
A1 López-Rubio, Ezequiel
K1 Vigilancia electrónica
K1 Videovigilancia
AB In video surveillance systems which incorporate stationary cameras, the first phase of movement object detection is crucial for the correct modelling of the behavior of these objects, as well as being the most complex in terms of execution time. There are many algorithms that provide a reliable and adequate segmentation mask, obtaining real-time ratios for reduced image sizes. However, due to the increased performance of camera hardware, the application of previous methods to sequences with higher resolutions (from 640x480 to 1920x1080) is not carried out in real time, compromising their use in real video surveillance systems. In this paper we propose a methodology to reduce the computational requirements of the algorithms, consisting of a reduction of the input frame and, subsequently, an interpolation of the segmentation mask of each method to recover the original frame size. In addition,the viability of this meta-model is analyzed together with the different selected algorithms, evaluating the quality of the resulting segmentation and its gain in terms of computation time.
PB Springer Nature
YR 2020
FD 2020
LK https://hdl.handle.net/10630/29686
UL https://hdl.handle.net/10630/29686
LA eng
NO Molina-Cabello, M.A., García-González, J., Luque-Baena, R.M. et al. The effect of downsampling–upsampling strategy on foreground detection algorithms. Artif Intell Rev 53, 4935–4965 (2020). https://doi.org/10.1007/s10462-020-09811-y
NO Publisher's Bespoke LicenseVersión definitiva disponible en el DOI indicado.Molina-Cabello, M. A., Garcia-Gonzalez, J., Luque-Baena, R. M., & López-Rubio, E. (2020). The effect of downsampling–upsampling strategy on foreground detection algorithms. Artificial Intelligence Review, 53, 4935-4965.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026