RT Conference Proceedings
T1 Foreground detection enhancement using Pearson correlation filtering
A1 Domínguez-Merino, Enrique
K1 Procesamiento de imágenes
AB Foreground detection algorithms are commonly employed as an initial module in video processing pipelines for automated surveillance. The resulting masks produced by these algorithms are usually postprocessed in order to improve their quality. In this work, a postprocessing filter based on the Pearson correlation among the pixels in a neighborhood of the pixel at hand is proposed. The flow of information among pixels is controlled by the correlation that exists among them. This way, the filtering performance is enhanced with respect to some state of the art proposals, as demonstrated with a selection of benchmark videos.
YR 2018
FD 2018-06-08
LK https://hdl.handle.net/10630/15931
UL https://hdl.handle.net/10630/15931
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026