Fuzzy Running Average and Fuzzy Background Subtraction: Concepts and Application
作者： Mohamad Hoseyn Sigari , Hamid Reza Pourreza , Naser Mozayani
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摘要: Summary Running average method and its modified version are two simple fast methods for background modeling. In this paper, some weaknesses of running standard subtraction mentioned. Then, a fuzzy approach modeling is proposed. For modeling, suggested. Background algorithms very commonly used in vehicle detection systems. To demonstrate the advantages subtraction, these their versions compared application. Experimental results show that relatively more accurate than classical approach.
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ijcsns.org 参考文章(16)
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