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a program of background subtraction example program by myself. very useful for testing-a program of background subtraction examp le program by myself. very useful for testing
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一个视频运动分析的系统平台，可以做简单的二帧、三帧帧间差分处理和背景减除操作。-a video motion analysis system platform can do simple two, three frames differential treatment and background subtraction operation.
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经实验发现，用背景减除方法也可以针对某些摄像机运动的情况，而非像大部分文章中所提到的该方法仅仅适合于摄像机静止的情况，而且效果还要较好！实验视频可以是一段足球视频！
-experiment found that the use of background subtraction method can also be targeted at certain camera movements, Most of the essays rather than as has been describe
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背景差異法(Frame Diference)
此方法是以前景與背景的畫面不同，依據視訊擷取的背景資料 去取得較穩定可信任的資訊，去計算前景與固定背景的像素差異情形，以整合畫素為基礎(pixel-based)與高階區域為基礎(region-based)的資訊，管理 一些視訊並允許其背景資料 的突然改變，這個混合模式嵌入了貝氏機率理 論並允許多個物件的追蹤，有些學者提出以背景差異(background subtraction)模式為基礎去探索移動物
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基于graph-cut的背景减除算法。.....
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利用OPENCV來實現高斯混合模型的背景相減，可看到當前影像、前景及背景-OPENCV to achieve using GMM background subtraction, we can see the current image, foreground and background
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基于opencv的高斯背景提取法，包括源代码和注释-Opencv-based Gaussian background subtraction method to extract
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Image Processing Background Subtraction Opencv Maunal
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压缩传感用于背景建模的一篇文章，ECCV的文章，有一定的价值。-compressed sensing for background subtraction
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三帧差，五帧差，背景差，质心轨迹，投影曲线-Three poor, five poor, background subtraction, the centroid trajectory, projection curve
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基于分块差分与背景减除的运动检测，对做背景检测的人会有帮助-Based on block difference and background subtraction of the motion detection, people detection of the background would be helpful
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运动目标跟踪基于背景差分法运动目标检测基于背景差分法运动目标跟踪基于背景差分法-Tracking moving objects based on background difference method difference method for detecting moving objects based on background background subtraction based tracking
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背景相減法&連通域標記來實現目標偵測
包含去陰影、形態學運算、框出目標物-Background subtraction & connected component labeling to achieve the target detection
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背景相减程序 直接在matlab中运行-Background subtraction procedure matlab
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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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背景消去算法，Mixture of Gaussian frame_difference approximate_median-Background_Subtraction_with_MCS Mixture of Gaussian frame_difference approximate_median
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用卡尔曼滤波方法跟踪运动物体，从而检测出运动物体目标-The first just does detection by background subtraction. This can be considered as the ground truth.
The second feeds the detection output into a Kalman filter. The predicted position from the kalman filter (red) is comp
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shadow detection for moving humans using gradient based background subtraction
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Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery
by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。
本程序基于OpenCV。-Forwar
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提出了基于自适应背景恢复的差减算法。该算法可在背景未知的情况下，对任意运动目标都能实时、有效地进行自动分割-Proposed restoration based on adaptive background subtraction algorithm. The algorithm can be in the background unknown circumstances, for any moving object can be real-time, effectively automatic
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