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

Authors

  • Freddy Alexander Díaz González Universidad Sergio Arboleda
  • David Alejandro Arevalo Suarez Universidad Sergio Arboleda

DOI:

https://doi.org/10.13053/cys-19-2-2006

Keywords:

Temporal median, background subtraction, foreground, recurrence.

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.

Author Biographies

Freddy Alexander Díaz González, Universidad Sergio Arboleda

Freddy Alexander Díaz González (MsC) es director del grupo de investigación ESINUSA de la Escuela de Ciencias Exactas e Ingeniería de la Universidad Sergio Arboleda y director del proyecto de desarrollo del Payload óptico para la Misión Satelital Libertad 2.

David Alejandro Arevalo Suarez, Universidad Sergio Arboleda

David Alejandro Arévalo Suárez es ingeniero electrónico de la Universidad Sergio Arboleda, estudiante de maestría en ingeniería electrónica de la Pontificia Universidad Javeriana. Joven Investigador participante del diseño de los prototipos de los subsistemas OBC, C&DH, y ADCS de la Misión Satelital Libertad 2 de la Universidad Sergio Arboleda.

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Published

2015-06-01

Issue

Vol. 19 No. 2 (2015): 19(2) April-June 2015

Section

Articles

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