Method for estimation of Background and Foreground segmentation in video surveillance

Published in: Megaprojects: Building Infrastructure by Fostering Engineering Collaboration, Efficient and Effective Integration and Innovative Planning: Proceedings of the 10th Latin American and Caribbean Conference for Engineering and Technology
Date of Conference: July 23-25, 2012
Location of Conference: Panama City, Panama
Authors: Freddy Alexander Díaz González  
David Alejandro Arévalo Suárez  
Refereed Paper: #191

Abstract

The video surveillance systems are widely used today, but it is essential to implement systems that automatically analyze the information captured, with the objective of identifying regular events that may occur in the scene. This work focuses on the estimation of the background and foreground segmentation in a surveillance video. The main contribution is the median filter applied recursively on a temporary popup window, which provides more robustness against noise caused by illumination changes and vibrations in the camera, this without increasing the computational cost.