DocumentCode
1577604
Title
Adaptive median filter background subtractions technique using fuzzy logic
Author
Mohamad, Auday A. H. ; Osman, Mohamed
Author_Institution
Fac. of Eng. Sci., Omdurman Islamic Univ., Khartoum, Sudan
fYear
2013
Firstpage
115
Lastpage
120
Abstract
This paper is based on the median filter algorithm that is considered one of the most commonly used algorithms in the field of background subtraction. In order to make the median filter algorithm adaptive with sudden change in surrounding circumstances a fuzzy logic inference system has been developed to make the parameters of Median Filter algorithm adaptive to the changes of sudden circumstances that surrounding the moving object to detach it from the background. Experimental results demonstrate that the fuzzy inference system is very efficient and robust.
Keywords
adaptive filters; fuzzy logic; fuzzy reasoning; image motion analysis; median filters; video signal processing; adaptive median filter background subtraction technique; fuzzy logic inference system; moving object; Adaptation models; Algorithm design and analysis; Engines; Filtering algorithms; Fuzzy logic; Hidden Markov models; Subtraction techniques; Background subtraction; Fuzzy classification; Median filter; Object tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Electrical and Electronics Engineering (ICCEEE), 2013 International Conference on
Conference_Location
Khartoum
Print_ISBN
978-1-4673-6231-3
Type
conf
DOI
10.1109/ICCEEE.2013.6633917
Filename
6633917
Link To Document