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This document contains implementation of background subtraction two images.
which follows based on frame difference method.first frame taken as background and second frame taken as input image-This document contains implementation of background sub
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基于opencv的运动目标检测,采用了混合高斯和背景相减两种方法,带源码,希望有点用-Opencv based moving target detection, using a mixture Gaussian and background subtraction of two ways, with source code, hope Somewhat
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基于混合高斯模型的背景减除实现程序,速度还可以,但是效果不是特别好,还有待改进-Gauss mixture model background subtraction procedure based on the implementation, can also speed, but the effect is not particularly good, there is room for improvement
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bgslibrary_x86_v1.9.2,是MFC的实现文件,包含37种背景减除算法,对于做目标提取的研究非常有用。-The BGSLibrary was developed by Andrews Sobral and provides an easy-to-use C++ framework based on OpenCV to perform background subtraction (BGS) in videos.
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经典背景减除方法,MOG2(或GMM),从opencv2.4.9中单独提取出来的,经过实验调试通过的,可同其他背景减除方法结合或对比。-It is a typical background subtraction mathod, which is OpenCV 2.4.9. It was proposed by Zivkovic in 2014ICPR and proved effective.
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步态识别论文,对目标检测方法进行了分析,提出了在HSL颜色模型空间中,利用时间域中值滤波算法构建背景模型,采用背景减除法实现人体上肢和下肢关节点的检测,采用闽值分割、形态学滤波和颗粒去除操作对关节点的图像进行二值化处理,为后续相关特征的提取做好了准备。
-Gait identification papers, for target detection methods are analyzed, presented at the HSL color space model, using med
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使用背景减进行前景提取,并进行人群密度检测-Foreground extracted using background subtraction, and crowd density detection
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视频跟踪系统中,应用背景差分法进行动目标检测的算法,整理成word文档形式。-Video tracking system, background subtraction method of moving target detection algorithms, organized into word document form.
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运动目标检测是将位置发生改变的物体从背景中提取出来,它是运动目标跟踪、行为识别
和场景描述等技术的基础。运动目标检测的经典方法有光流法、帧间差分法和背景减除法。-Moving object detection is to change the position of the object extracted the background, it is a moving target tracking, behavior recognition
And underlying techno
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《Visual C++数字图像处理典型案例详解》中的例子,采用背景差法进行车辆的跟踪和检测- Visual C++ digital image processing typical case explain examples, vehicle tracking and detection using background subtraction
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vibe:A universal background subtraction algorithm for video sequences
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background subtraction
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基于混合高斯模型的背景减除法,用于分离前景和背景-Background subtraction method based on Gaussian mixture model for separating the foreground and background
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交通视频采集后的图像预处理。由于硬件及环境等因素的影响,摄像头提取的图像不可避免地包含噪声,图像的质量会受到不同程度的失真。因此,我们要对采集到的视频序列进行图像的预处理。
车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法:帧差法、光流法,总结了各种方法的优缺点,并采用背景差法对车流量进行检测。该算法自适应能力强,计算量小,可正确判断有无车辆、完成车辆计数,实现车流量计算,为交通监管系统提供实时有效的交通参数。
车辆计数。分析常用的车辆计数方法:虚拟线圈法和目标跟踪法。并
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实现了运动目标的检测和跟踪,使用背景差分法,帧间差分法、光流法和均值漂移的方法,能够实现很好的对运动目标的跟踪-Achieve a moving target detection and tracking, using background subtraction, inter-frame difference, optical flow method and the method of mean-shift, it is possible to achieve a good track mov
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先用背景差分法进行运动目标的检测,然后求出运动目标的质心,然后进行聚类。-First with the background subtraction method to detect moving targets, moving targets and then find the center of mass and clustering.
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使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法,检测出烟雾区域以及疑似烟雾区域;接着用背景相减的方法,检测出运动的物体;最后结合两种方法,只检测出运
动的烟雾区域,提取烟雾最大轮廓,绘制矩形框以示意。通过设置R、G、B的参数及阈值,可以得到满意的效果。
-Use VS2010+openCV. This paper is based on the color model and motion model for sm
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各种背景相减的算法,目前已经收录27中,大家可以少花力气,一个老外中间的背景相减代码库-Various background subtraction algorithm, has been included in the 27, you can spend less effort, a foreigner in the middle of the background subtraction code library
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vs2010结合opencv2.4.9利用高斯背景建模,然后背景减除法提取运动目标-vs2010 binding opencv2.4.9 Gauss background modeling and background subtraction method to extract moving target
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绿幕,蓝幕抠图,基于 Chroma key 算法,效果非常好。-Green, blue screen Matting, based on Chroma Key algorithm, the effect is very good.
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