Investigation on Visual Background Extractor Based on Gray Feature and Adaptive Threshold
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摘要: 針對(duì)虛擬背景提取(Visual Background extractor,ViBe)算法在目標(biāo)檢測(cè)時(shí)容易出現(xiàn)鬼影和運(yùn)動(dòng)目標(biāo)陰影的缺點(diǎn)，該文提出了一種基于灰度特征和自適應(yīng)閾值的ViBe背景建模改進(jìn)方法。該算法首先利用ViBe算法進(jìn)行背景建模，得到前景目標(biāo)，然后對(duì)前景目標(biāo)進(jìn)行灰度特征判斷和自適應(yīng)閾值比較，得到?jīng)]有鬼影和運(yùn)動(dòng)目標(biāo)陰影的運(yùn)動(dòng)目標(biāo)。實(shí)驗(yàn)結(jié)果表明，改進(jìn)后的算法可以很好地彌補(bǔ)ViBe算法的不足，提高ViBe算法的識(shí)別準(zhǔn)確率。
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關(guān)鍵詞:
- 計(jì)算機(jī)視覺 /
- 運(yùn)動(dòng)目標(biāo)檢測(cè) /
- 背景建模 /
- 虛擬背景提取(ViBe) /
- 自適應(yīng)閾值 /
- 灰度化特征
Abstract: In order to solve the problem of the ghost and the shadow of moving object, an improved Visual Background extractor (ViBe) algorithm is proposed based on gray feature and adaptive threshold. The new method firstly applies the ViBe algorithm to obtain the foreground object, and then uses the gray feature judgment, as well as the adaptive threshold comparison in the foreground object to get the moving object without the ghost and the shadow. Experiments show that the improved algorithm results in better recognition accuracy. -
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