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ViBe算法是由Olivier Barnich 和 Marc Van Droogenbroeck在2011年提出的一种背景建模方法。该算法采用邻域像素来创建背景模型,通过比对背景模型和当前输入像素值来检测前景.(ViBe algorithm is a background modeling method proposed by Olivier Barnich and Marc Van Droogenbroeck in 2011. The neighborhood pixels are used
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目标检测,对包含动态背景信息的监控视频,设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
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对包含动态背景信息的监控视频,设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
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sift处理图像,实现动态背景前景目标提取(Sift processing images to achieve dynamic background, foreground, target extraction)
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采用多个高斯分布的方式来描述背景像素点的特征,在线地更新参数和权重,实现运动检测和前景提取的同步进行,即采用混合高斯背景算法进行建模,以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated online. Synchronization of motion d
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监控视频中,不缓动镜头下,不变静态背景下的前景目标提取,环境C++(In surveillance video, foreground objects are extracted under the same static background without moving shots, and the environment C++)
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利用背景减除法从视频场景中提取前景目标,背景减除法在有较好的静态背景图像的基础上会有比较好的提取效果。(Background subtraction is used to extract foreground target from video scene. Background subtraction method has better extraction effect on the basis of better static background image.)
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背景减除提取前景并保存前景视频,利用的是opencv python(Background subtraction extracts foreground and saves foreground videos)
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在静态背景下,提取运动物体(前景检测)并对其标号(In the static background, the moving object (foreground detection) is extracted and its label is extracted)
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提取前景目标 视频 包括动态背景和静态背景(Extracting foreground target video includes dynamic background and static background)
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使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling
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extracts foreground from background()
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一款开源免费的企业门户系统,专为企业营销设计!它内置了文章、产品、论坛、评论、会员、博客、手册等功能,后台操作简洁方便,前台界面美观大方。并且针对搜索引擎做了大量的优化工作。(An open source free enterprise portal system, specifically for enterprise marketing design! It has built-in articles, products, forums, comments, members, blogs,
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一款轻量级企业网站管理系统,基于PHP+Mysql架构的,可运行在Linux、Windows、MacOSX、Solaris等各种平台上,系统搭载Smarty模板引擎,支持自定义伪静态,前台模板采用DIV+CSS设计,后台界面设计简洁明了,功能简单易具有良好的用户体验,稳定性好、扩展性及安全性强,可通过后台在线安装模块,比如会员模块、订单模块等,可面向中小型站点提供网站建设解决方案。(A lightweight enterprise website management system, based
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OTSU算法也称最大类间差法,有时也称之为大津算法,被认为是图像分割中阈值选取的最佳算法,计算简单,不受图像亮度和对比度的影响,因此在数字图像处理上得到了广泛的应用。它是按图像的灰度特性,将图像分成背景和前景两部分.(Difference method OTSU algorithm called maximum class, sometimes called the Otsu algorithm, is considered to be the best algorithm, threshold
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前景检测 对动态背景进行多角度监测 动态背景检测(Foreground detection is used to monitor dynamic background from different angles)
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一段作为前景提取提取的函数,将静态背景中的动态目标提取(A as a function of the foreground extraction to extract, dynamic target extraction from the static background)
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建立混合高斯背景模型分离离前景和背景实现运动物体跟踪(Establish a mixed Gaussian background model to separate the foreground from the background to achieve the tracking of moving objects)
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两种烟雾处理的方法可以有效的提取前景和背景,并且具备保存功能。相比较其他方法这两种方法是可以直接使用的没有错误。(Two kinds of smoke treatment methods can effectively extract the foreground and background, and have the preservation function. Compared with other methods, the two methods can be used directly
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采用MATLAB完成人脸检测,可实现在前景和背景差别较大的情况下完成检测,准确率较高,适用范围较广。(Using MATLAB to complete the face detection can realize the detection of the foreground and the background difference is bigger, the accuracy rate is high, and the scope of application is wider.)
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