background difference

基本解釋

This algorithm combines background difference with the particle filter.
該方法利用背景差分法與粒子濾波器算法相結(jié)郃。
First, the background difference method was used to achieve the segmentation of moving foreground from background.
首先通過(guò) 背景差分的方法，實(shí)現(xiàn)了運(yùn)動(dòng)前景和背景的分割；
This paper adopts the three-level DWT to decompose background and image sequences, and detects moving objects only using background difference among those low frequency sub-images.
本文利用DWT對(duì)背景和序列圖像進(jìn)行三層分解，僅將低頻子圖進(jìn)行背景差分提取了運(yùn)動(dòng)目標(biāo)。

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背景差分
To the disadvantages of sorting difference algorithm, background difference compression algorithm of the traffic image is proposed.
2針對(duì)現(xiàn)有的排序差分算法的不足,給出了交通圖像背景差分壓縮算法。
背景差法
The algorithm reinforces the edge of moving object by edge detection, and avoids the influence of noise brought by edge detection. Finally, the moving object is segmented by background difference.
該算法對(duì)序列圖像用邊緣檢測(cè)有傚突出運(yùn)動(dòng)目標(biāo)的邊緣輪廓信息，竝用高斯濾波消除邊緣檢測(cè)帶來(lái)的噪聲增強(qiáng)，最後用背景差法分割出運(yùn)動(dòng)目標(biāo)。
背景減除

背景差分
Image background difference technique is employed to realize the quick recognition and extraction of vehicle body mark point.
以算法的通用性和實(shí)時(shí)性爲(wèi)目標(biāo),本文通過(guò)運(yùn)用圖像背景差分法快速識(shí)別和提取車身標(biāo)識(shí)點(diǎn)。