Recursive Median Filter for the Background Estimation and Foreground Segmentation in Surveillance Videos

Abstract

The use of video cameras is widely used in surveillance systems, and offers the possibility of processing the captured images for automatic detection of events of interest that may arise in the scene. The following paper proposes a method for estimating the background and foreground segmentation in video surveillance, using a recursive median filter, applying a temporal moving window in number of frames to be analyzed, which provide more robustness against noise caused by changes in illumination and camera shake, limiting the increase in the computational cost for processing.