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Title |
Fuzzy Running Average and Fuzzy Background Subtraction: Concepts and Application |
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Author |
Mohamad Hoseyn Sigari, Naser Mozayani, Hamid Reza Pourreza |
| Citation |
Vol. 8 No. 2 pp. 138-143 |
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Abstract |
Running average method and its modified version are two simple and fast methods for background modeling. In this paper, some weaknesses of running average method and standard background subtraction are mentioned. Then, a fuzzy approach for background modeling and background subtraction is proposed. For fuzzy background modeling, fuzzy running average is suggested. Background modeling and background subtraction algorithms are very commonly used in vehicle detection systems. To demonstrate the advantages of fuzzy running average and fuzzy background subtraction, these methods and their standard versions are compared in vehicle detection application. Experimental results show that fuzzy approach is relatively more accurate than classical approach. |
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Keywords |
Fuzzy Background Modeling, Fuzzy Background Subtraction, Fuzzy Running Average, Vehicle Detection |
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