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guangbanzhongxintiqu
- 本程序主要实现暗背景下含高斯噪声的光斑滤除噪声,实现光斑中心提取。采用了sobel算子和梯度倒数加权滤噪、最大类间方差法(Otsu)确定阈值、质心法提取光斑中心坐标。-The program is mainly realized under a dark background Gaussian noise spot containing noise filtering, to achieve spot center extraction. Using sobel operator and gra
GAUSS
- 读入视频后,高斯背景建模代码的 代码 实现流程-After reading the video, Gaussian background modeling code, code flow
log
- 提出基于拉普拉斯高斯(Laplacian of Gaussian,LoG)算子边缘检测的全局二值化方法对其进行处理,该方法通过提取图像边缘部份的像素灰度获得图像二值化的阈值。处理结果表明,与传统的几种方法相比,该方法能够快速选取良好的二值化阈值,较好地区分目标和背景,在相当大模板宽度内图像二值化的结果都令人满意。-Is put forward based on the Laplacian of Gaussian (LoG) Laplacian of Gaussian, operator edge
GMMM
- 此文主要简单介绍高斯背景建模的方法,并对opencv的源代码做分析,有一定的参考价值。-This article mainly introduces gaussian background modeling method, were reviewed and opencv source code analysis, has the certain reference value.
GaussianBackground
- 高斯混合背景模型的一个简单示例,采用的是opencv2.4.8以上版本,简单易懂,适合新手学习-Gauss mixed background model of a simple example, the use of more than opencv2.4.8 version, easy to understand, suitable for beginners to learn
meanshift-tracking
- 本算法实现的是目标的跟踪,采用的是混合高斯模型建立背景,然后用meanshift进行跟踪,包括使用MFC进行界面编辑-The algorithm is to track the target, using Gaussian mixture model background, and then meanshift track, including the use of interfacial MFC edit
Gmm
- 利用高斯混合模型(gmm)实现了目标与背景的分离以及前景的跟踪。-Gaussian mixture model (gmm) to achieve the objectives and background of the separation and the prospect of tracking.
W5
- 视频帧序列实现基于GMM(高斯混合模型)的背景建模-Video frame sequence implementation based on GMM (Gauss mixture model) background modeling
SHIFT
- 以随机的中弱大气湍流为背景,可用于计算大气湍流下准直高斯光束的光强分布,光束扩展以及光束角漂移-The random weak atmospheric turbulence as the background can be used to calculate atmospheric turbulence of collimated Gaussian beam intensity distribution and beam propagation and beam angle drift
bgfg
- 高斯处理对视频做好前景与背景的分离,并跟踪目标!-Gaussian process video and track prospects do background isolated
sy5
- 改进的混合高斯背景模型,用于检测运动目标,能够有效的提取前景-Improved gaussian mixture background model, used to detect moving targets, and can effectively extract prospect
Gussian
- 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
Q
- 本文以室内、外不同空间的人数统计为背景,研究基于图像的人员计数技术,对某时段内进出摄像机视野中指定区域的人数,或指定区域内在景人数进行统计。主要研究内容有以下几点: (1)人员计数方案论证:本文分析对比了不同人员计数算法,研究分析了基于像素、 基于Hough变换的人员计数算法的优缺点。 (2)基于像素统计的人员计数系统实现:①分别采用近似中值背景模型和高斯混合背景模型提取前景图像;②采用基于HSV颜色空间变换的方法对前景中的阴影进行抑制;③用前景像素数除以人数得到一个人的像素平均值,
GMM
- 混合高斯背景建模,检测效果很好,拖尾现象几乎没有。-background modeling
Foreground-detection-procedures
- 前景检测程序,MATLAB实现,有背景差分,帧差法,混合高斯模型,光流法。-Foreground detection procedures, MATLAB, background difference, frame difference method, the gaussian mixture model and optical flow method.
background-segmentation
- 21.【高斯处理视频并跟踪运动做前景背景分割】bgfg221.【高斯处理视频并跟踪运动做前景背景分割】bgfg2-Gauss processing video and tracking motion foreground background segmentationGauss processing video and tracking motion foreground background segmentation
background-subtract--of-gauss
- 混合高斯背景建模程序,实现视频图像实时背景建模和目标跟踪-Gaussian mixture background modeling procedures to achieve real-time video image background modeling and target tracking
GS
- 基于opencv实现的去除背景后的单高斯算法-Gauss algorithm based on single post opencv realized remove background
LCBlur-master
- 背景模糊效果处理,采用高斯模糊算法,可以使图片变模糊-Background blur processing, Gaussian blur algorithm that can make pictures blurred
matlab_gmm
- 针对单高斯建模的不足,提出高斯混合背景模型,可以检测出比较清楚的运动目标,经实验对比,噪声较少