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基于opencv和帧差法实现彩色avi视频的，可以减除光照变换较明显的静态背景。附实验视频。,Opencv-based and frame color difference avi video, you can remove the more obvious light transform the static background. Experimental video attached.
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opencv hand movement detection on a static background
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基于vc++6.0+opencv的运动目标的检测与跟踪，包括一个小车视频，主要功能是在噪声、静止背景下实现运动目标的检测-Vc++6.0+ opencv-based moving target detection and tracking, including a car video, the main function is in the noise, static background detection of moving objects
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利用opencv 的 高斯模型来进行背景建模，在背景变化不大的情况下工作的不错。最好能有几帧纯粹的背景用于建模，这样效果会更好。-build the background model using Gaussian in opencv. some static background will make it works better
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The OpenCV "Video Surveillance" facility, also called "blob tracker" through much of the code, is a simple but practical facility intended to track moving foreground objects against a relatively static background. Conceptually it consists of a three-
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在windows下面使用OPENCV加VC++6.0编写的一个很好的图像处理例程基于静态场景的背景提取-Use OPENCV VC++6.0 written a very good image processing routines based on the static background of the scene to extract the windows below
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基于opencv开发做的视频的静态背景提取-static background of the opencv video extraction
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提取静态场景的背景，用于图像图像目标检测，使用OpenCV平台，请在在vc++环境下运行 -Extract the static scene background for the image image target detection using OpenCV platform, running in vc++ environment
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静摄像机情况下基于opencv的背景差法识别运动物体-Identify moving objects based on opencv background subtraction in the case of a static camera
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OpenCV实现静止背景下运动目标的检测,通过背景差法检测出运动的目标。-OpenCV implementation static background moving target detection by background subtraction method to detect moving targets.
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本源码包为VC+OpenCV提取静态场景的背景-The source code package for VC+OpenCV extract static background scene
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基于opencv的运动目标检测，运用帧间差分法对静态背景环境下的运动目标进行检测-Opencv based moving target detection, the use of inter-frame difference method for moving objects static background environment for testing
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基于opencv的运动目标检测，运用帧间差分法对静态背景环境下的运动目标进行检测-Opencv based moving target detection, the use of inter-frame difference method for moving objects static background environment for testing
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静态背景下运动物体跟踪，采用L-K光流法，opencv源代码-Moving object tracking in static background, using L-K optical flow method, opencv source code
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opencv，vs2010 利用混合高斯模型，得到运动前景，与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)
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opencv 调用，视频前景目标分割，动目标提取，对静态视频背景进行分割，提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
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平均背景法， 动静态视频前景目标提取， 输出mask， opencv(Average background method, dynamic and static video foreground target extraction, output mask, opencv)
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单高斯算法用于静态背景下显著目标的拾取该方法较为简单，也能应对静态背景下的目标拾取。(Used for picking up salient objects in static background)
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