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for the TI dm6446 platformBackground subtraction moduleMaintain a background model, which can distinguish background, foreground and theft/left pixelsShadow removal moduleDetect shadow regions in monochrome videosCamera shift detection and suppressio
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混合高斯背景建模用于检出背景，并提取前景，在OPENCV环境下操作进行的。是数字图像处理领域不可缺少的一种处理方式。OPENCV库里含有的函数在数字图像中的作用都是不可获取的，用起来简单又便捷，建议OPENCV从头认真学起-Gaussian mixture background modeling for the detection of background and foreground extraction, OPENCV environment in the operation. The f
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Change detection by background subtraction is a
common approach to detect moving foreground. The
resulting difference image is usually thresholded to obtain
objects based on pixel connectedness and resulting blob
objects are subsequently trac
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这个代码功能是格式化需要输入内容的文本框，同时对输入的数据进行检查和验证。每当按键产生变化，如回车，粘贴等动作时，文本框会自动检查和修改。
另外代码具有自动文本全选、改变文本框颜色、默认背景/前景色、保存当前输入内容以被撤消时恢复用。支持各种类型的字符和数字格式化，支持按键检测，如按 ESC撤消，按回车和向下箭头键调到下一个文本框，类似TAB键，支持回车声音事件、聚焦和失焦颜色编号等。-This code function is to format the text box to enter
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我们的srtp项目，是关于数字图像处理的，边缘检测和前景背景提取。-edge detection and foreground extraction
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Tracking people in a dense crowd is a challenging problem
for a single camera tracker due to occlusions and extensive
motion that make human segmentation difficult. In this
paper we suggest a method for simultaneously tracking all
people in a
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It is useful to developer who ieterest with shadow removal in video surveillance system
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ViBe是一种像素级的背景建模、前景检测算法，该算法主要不同之处是背景模型的更新策略，随机选择需要替换的像素的样本，随机选择邻域像素进行更新。-ViBe is pixel-level background for modeling, foreground detection algorithm, which is the main difference between the background model update strategy, randomly selected sample o
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matlab语言,基于张量的一种前景检测(MATLAB language, a foreground detection based on tensor)
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基于MOG的视频前景检测算法，利用OpenCV做前景提取(Video foreground detection based on MixGaussExtractForeground MOG)
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ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少，图像特征提取，(ViBe is a pixel level video background modeling or foreground detection algorithm is better than several well-known algorithms, hardware memory footprint, image feature extraction)
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帧间差分法 MATLAB 图像前景图片提取(Background Modeling and Foreground Detection for Maritime Video Surveillance)
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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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使用opencv实现vibe算法，用于视频前景检测(Opencv implementation using vibe algorithm for video foreground detection)
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前景检测 多角度运动背景识别检测 静态监测(Foreground detection)
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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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matlab的一些接口错误修正代码，可用于前景检测(Some interface error correction codes of Matlab can be used for foreground detection)
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optic disk citra fundus menggunakan matlab
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In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance
cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is dev
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该程序是用混合高斯建模+卡尔曼滤波实现，结果依赖于前景检测效果，结果效果较好，但背景干扰较多。(The program is to use mixed gaussian modeling + kalman filter implementation, the result depends on the foreground detection results, the effect is better, but more background interference.)
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