IEICE Electronics Express
Online ISSN : 1349-2543
ISSN-L : 1349-2543
LETTER
Extended fuzzy background modeling for moving vehicle detection using infrared vision
Yeo Boon ChinLim Way SoongLim Heng SiongWong Wai Kit
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2011 Volume 8 Issue 6 Pages 340-345

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Abstract

Running average is a simple and effective background modeling method that generates adaptive background image for moving object detection. Fuzzy Running Average (FRA) improves the selectivity of Standard Running Average (SRA). However, its background restoration rate is slow. This leads to false object detection when a static object becomes dynamic. To overcome this problem, an Extended Fuzzy Running Average (EFRA) is proposed. The results show that the EFRA not only retains the selectivity benefit of FRA, but also improves the restoration rate significantly.

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© 2011 by The Institute of Electronics, Information and Communication Engineers
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