搜索资源列表
gaosi1(1)
- 高斯混合模型进行背景建模，实时获取摄像头的视频进行运动目标检测-Gauss mixture model for background modeling, real-time detection of the video camera is used for moving target acquisition
mixture_of_gaussians
- 基于高斯的背景建模，可以实现一个动态视频的跟踪。-GAUSS BACKGRONG
Directshow
- Directshow单高斯背景建模源程序-Directshow single Gaussian background modeling source
zhongzhifa
- 中值法背景建模，背景建模的简单易行的方法-Median background modeling method
opencv
- 运用高斯混合背景法对背景建模的背景差分法运动目标检测。-Background method using Gaussian mixture background modeling background subtraction method to detect moving targets.
codebook
- opencv里的codebook背景建模已实现并测试的源代码-opencv in the codebook background model has been implemented and tested source code
ch9_AvgBackground
- opencv中自定义背景建模已实现并测试的源代码-opencv custom background modeling has been implemented and tested source code
Untitled2
- 读入视频，基于中值法和均值法的视频背景建模-Read into the video, modeling method based on the median and mean law video background
gsbg
- 混合高斯背景建模，单高斯背景建模，人脸检测，人眼检测，希望能够有所帮助-mixture gausion back model,angle gausion back model, face detection, eye detection
main
- 视频车辆识别，通过背景建模的方法分离出运动的前景。-Video vehicle identification, isolated foreground moving through background modeling approach.
nonparametric-background-generation
- 背景建模-非参数背景生成，应用于运动目标检测-Background modeling- nonparametric background generation, used in moving object detection
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
BGS_Library
- 29种开源背景建模库 做图像处理使用 尤其可以作为背景建模研究用 绝对让你爽到爆-29 kinds of open source libraries to do image processing using background modeling Especially can be used as a background modeling research Absolutely let you cool to explode
bgslibrarymfc_gui
- 37种背景建模技术 觉得可以使用的MFC界面 一定要按照说明，这样上手也快 我自己已经测试没问题，SUBESENCE算法也有哈 绝对让你爽到飞-37 kinds of background modeling technology Think you can use the MFC interface Be sure to follow the instructions, so get started faster I have test no problem, SUBESEN
hsv_ViBe
- ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少，图像特征提取，(ViBe is a pixel level video background modeling or foreground detection algorithm is better than several well-known algorithms, hardware memory footprint, image feature extraction)
0876cf28-2900-4b43-b045-5d31446ed586
- 关于学习混合高斯背景建模，其是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景。(Study on the mixed Gauss background modeling, the representation method of pixel sample statistics based on the background, the probability density statistics such as
GaussianMixtureModel_EM-master
- 用于混合高斯背景建模 MATLAB代码(The mixed Gauss background modeling MATLAB code)
gaussianBkModelTest
- 采用混合高斯模型，实现对监视背景的建模，有利于下一步运动目标的检测(The mixed Gauss model, modeling of monitoring background, is conducive to the detection of moving target next)
gaosi
- 高斯背景建模，用于背景搭建，拥有完善的背景更新机制，效果显著(Gauss background modeling is used for setting up the background, and the effect is remarkable)
xinde116
- 高斯背景建模中最为常用的一串代码，权衡了处理时间及效果(The most commonly used string of code in Gauss's background modeling, weighing the processing time and effect)