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

被引：2

作者：

Diaz Gonzalez, Freddy Alexander ^{[1
]}

Arevalo Suarez, David Alejandro ^{[1
]}

机构：

[1] Univ Sergio Arboleda, Bogota, Colombia

来源：

COMPUTACION Y SISTEMAS | 2015年 / 19卷 / 02期

关键词：

Temporal median; background subtraction; foreground; recurrence;

D O I：

10.13053/CyS-19-2-2006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Video cameras are widely used in surveillance systems; this offers the possibility of processing the captured images for automatic detection of events of interest that may arise in the scene. The present paper proposes a method for estimating the background and foreground segmentation in video surveillance using a recursive median filter and applying a temporal moving window in the 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 of processing.

引用

页码：283 / 293

页数：11

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