搜索资源列表
单高斯目标检测
- 基于OPENCV的单高斯模型，通过摄像头获取视频帧，得到背景图片。
gauss.混合高斯背景建模算法
- 混合高斯背景建模算法，包含了阴影消除方面的一些处理。,AppWizard has created this gauss application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.
Background_GMM.rar
- 混合高斯模型，建立背景模型，从而可以分离前景与背景,Gaussian mixture model, background model, which can be separated from foreground and background
Monitor.rar
- 自己写的vc 读取YUV视频信号 进行帧差法进行目标跟踪 ，高斯背景模型提取，,Vc wrote it myself to read YUV video signal frame-difference method for target tracking, Gaussian background model extraction,
Gauss_background_construction
- matlab实现的高斯背景建模，同行可以看看学习一下。-Gauss_background_construction
dangaosi
- 高斯背景建模,建立但搞死模型，基于Ｃ＋＋编写，绝对超值，行心窝没错的-dan gao si bei jing jian mo it is very usefll ,i think you will love it,it can help you much.you konwn i do it much time. i think it can do much and it is good for you .
1-4YCC
- 本代码是在VC平台实现的摄像头输入的目标跟踪，以高斯建模做的背景，希望对大家有帮助-The code is in the VC camera platform target tracking input to Gaussian background modeling done, I hope all of you help
DIP
- 图像的操作，及视频流的相关操作，基于opencv，运动目标检测，中值滤波，高斯背景模型，混合高斯模型-The operation of the image, and video streams related operations, based on the opencv, motion detection, median filtering, Gaussian background model, Gaussian mixture model
gaussbackground
- 应用高斯模型进行进行建模，具有建立背景速度快，更新准确等特点。-Application of Gaussian model to model, with the establishment of the background of fast, accurate updates.
gussmodel
- 混合高斯模型建模，对视频中背景进行混合高斯建模，在摄像机不动的环境中应用广泛-Gaussian Mixture Modeling of video Gaussian mixture background modeling, at the fixed cameras are widely used environment
Gauss
- 高斯背景建模，利用opencv进行处理，并且提取出前景-Gaussian background modeling, to deal with the use opencv, and the prospect of extracting
singalframe
- 车辆视频检测，采用高斯背景更新方法，基于OPENCV的图像视频检测算法-Vehicle video detection, the Gaussian background updating method, based on video image detection algorithm OPENCV
yundongjiance
- 运动视频的背景建模与运动物体的检测，包含混合高斯模型和帧差法检测运动物体。使用opencv编写-failed to translate
单高斯
- 单高斯背景建模实现，仿照网上程序实现，可以使用(Single Gauss background modeling implementation, modeled on the online program to achieve, you can use)
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)
高斯混合模型GMM-latentSpace-v2.0
- 用于背景建模实现视频运动目标分割 与目标跟踪算法(For background modeling, video moving object segmentation and object tracking algorithm)
混合高斯
- 用于车辆检测背景建模 通过混合高斯将前景与北京分离(Vehicle tracking background modeling is used to extract foreground)
MATLAB_高斯模型
- 用高斯模型算法来处理视频，提取前景信息，适合动态背景(Gauss model algorithm is used to process video and extract foreground information, which is suitable for dynamic background)
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)
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