基于2D時(shí)空熵門限的運(yùn)動(dòng)目標(biāo)檢測
The Moving Object Detection Based on 2D Spatio-temporal Entropic Thresholding
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摘要: 該文給出一種基于二維(2D)時(shí)空熵門限進(jìn)行運(yùn)動(dòng)目標(biāo)檢測的方法。研究了幾種通用運(yùn)動(dòng)目標(biāo)檢測方法的特點(diǎn),運(yùn)用2D熵門限分割方法檢測運(yùn)動(dòng)目標(biāo)的結(jié)構(gòu)區(qū)域,在2D熵門限的基礎(chǔ)上,提出了一種快速熵門限求解算法。實(shí)驗(yàn)結(jié)果表明,這種方法可以很好地檢測出運(yùn)動(dòng)目標(biāo),同時(shí)可大大提高運(yùn)算速度。Abstract: A method of moving object detection based on two dimensional (2D) spatio-temporal entropic thresholding is proposed in this paper. The characteristics of several common approaches for moving object detection are analyzed, and 2D entropic thresholding method is used to detect the structural region of the moving object. The 2D thresholding method is first deduced. A fast algorithm for entropic thresholding is put forward. The experimental results show that this method can be used to detect the moving object, and reduce the computational time efficiently.
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