搜索资源列表
前景提取程序
- 需要输入背景图片，提取前景
jj.rar
- 不规则光照下自适应阈值的前景背景分离算法源代码,相当好用哦,Irregular light of the prospects of adaptive threshold background separation algorithm source code, very easy to use, oh
yyqc
- 采用RGB模型进行阴影的检测与去除。能够显示前景、背景、去除阴影后的运动目标-RGB model with shadow detection and removal. To show foreground, background, after the removal of shadows moving target
adaptivethreshold
- 用matlab实现不规则光照下自适应阈值的前景背景分离算法。文件里面附测试图像。-Matlab implementation to use irregular light of the prospects for adaptive threshold background separation algorithm. Test image files attached inside.
FgBgSubtract
- 前景背景分离的程序，用于提取固定背景下的视频中的运动目标-The prospects for the background separation process for extracting fixed in the context of the video moving target
paper_ICIP06
- 视频流中前景背景分离非常不错的算法。能适应阴影，水波，树枝晃动等复杂环境-BACKGROUND MODELING FROM GMM LIKELIHOOD COMBINED WITH SPATIAL AND COLOR COHERENCY
CarCount
- 该代码实现车辆的检测，采用了训练的方式，从视频中提取背景，然后做差分，连通域提取等步骤得道前景。该代码采用OPENCV实现。-The code to achieve vehicle detection, using training methods to extract from the video background, and then do differential, connected components extraction and other steps to attain the
adaptivethre
- 不规则光照下自适应阈值的前景背景分离算法-Irregular light of the prospects for adaptive threshold background separation algorithm
背景建模法
- 介绍当前几种比较常见的背景建模方法，例如高斯，码本，均值等
BGSLibrary
- bgslibrary是一个开源前景背景分割库，包含了一些最新前背景分割算法。(Bgslibrary is an open source Foreground Background Segmentation library, which contains some latest background segmentation algorithms.)
背景差GMM
- 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)
背景差分法检测运动目标
- 背景差分法检测目标，用于背景为静态的，检测目标，背景图像与前景图像相分离(Background subtraction is used to detect targets for static background)
matlab
- 动态目标跟踪，静态背景，前景背景动态目标提取(Dynamic object tracking, static background, foreground background, dynamic object extraction)
平均背景法-动静态背景视频前景目标提取
- 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)
动态背景
- 用vibe算法提取动态背景的前景信息，背景为白色(Vibe algorithm is used to extract foreground information of the dynamic background, the background is white)
改进的高斯混合背景模型的实现
- 利用改进的高斯混合模型对前景目标的提取有较好的作用，这是基于OpenCV的C++程序，请安装OpenCV库进行调试(The improved Gauss mixture model has a good effect on foreground target extraction. This is a C++ program based on OpenCV. Please install OpenCV library for debugging)
opncv
- 动态目标追踪和前景背景提取，使用Python和opencv编程(Dynamic object tracking and foreground background extraction, using Python and opencv programming)
三种传统背景减除法
- 使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling
w1_main
- 实现图像的前景与背景分割，设定三个不同阈值，直接观察分割结果或者利用统计直方图，得到一个自适应的阈值，再观察实验结果；(Segmentation of foreground and background of image, threshold segmentation method)
高斯处理视频并跟踪运动做前景背景分割
- 采用opencv 高斯处理视频并跟踪运动做前景背景分割(Gauss processes video and tracks motion to do foreground and background segmentation.)