搜索资源列表
meanshift
- meanshift算法的跟踪 高斯背景建模 opencv程序-meanshift tracking
Texture-Based-GOM
- 高斯背景建模的论文和配套源码,是外国人博客找到的,特收藏 -Gaussian background modeling papers and supporting source, a foreigner blog to find, especially Favorites
codebook
- cedebook背景建模方法的背景差分方法检测运动目标!-cedebook background modeling method for background subtraction method for detecting moving targets!
Mean-background-modeling
- 均值背景建模,包含视频!效果还可以,背景建模的还是不错的!-Mean background modeling, including video! Effect can be, background modeling is good!
program
- 背景建模和graph cuts相结合的方法对图像进行分割,达到了良好的效果。-a method which combines the background model and graph cuts achieve the good performance
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,很简单。-ViBe is a pixel-level video background modeling or prospects detection algorithm is better than several well-known algorithms, hardware memory footprint small, very simple.
MovDetect
- vs2010工程,C++(优化了opencv的代码),通过混合高斯背景建模实现的运动物体检测,效果非常好。-vs2010 project, C++ (optimized opencv code), Gaussian mixture background modeling to achieve through the detection of moving objects, the effect is very good.
bkgrd
- 利用背景建模检测运动物体。逐帧读取视频,根据帧差法来实现。-The use of background modeling moving object detection. Read video frame by frame, in accordance with the frame difference method to achieve.
codebook_learningcode
- codebook高级背景建模的例程,很好的学习资料-codebook high background modeling routines, good learning materials
bkgrd_opencv
- 源代码基于opencv 逐帧读取视频 然后通过背景建模构建出背景的灰度图 再通过背景检测出每一帧中的运动物体-Read the video frame by frame and then build through background modeling background grayscale and then through the background of detecting moving objects in each frame
gsqj
- 采用高斯混合模型用于运动背景建模,可以检测出前景-Gaussian mixture model for motion background modeling, can detect the foreground
MixGauss-CPP
- 高斯混合背景建模的C++表示,现在用opencv的比较多,用c++写更能体现算法思想-Gaussian mixture background modeling C++ representation
codebook
- 根据国外原文codebook翻译的中文版学习资料,对学习codebook动态背景建模很有帮助-According to foreign original codebook translated Chinese version of the learning materials, learning codebook dynamic background modeling helpful
EM_Algorithm
- 混合高斯背景建模的EM估计算法,是一篇英文资料,希望对大家有帮助。-EM estimation algorithm for Gaussian mixture background modeling, is an English data, we want to help.
GuassianBackground
- 功能是用混合高斯模型实现视频图像的背景建模!vs2010和opencv实现!-Function is Gaussian mixture model, background modeling video images! vs2010 and opencv realize!
gaussianTest
- 代码为用高斯背景建模提取视频中移动的物体,使用VS+OpenCV2-Code for the extraction of moving objects in video using Gaussian background modeling, using VS+OpenCV2.4.4
OpenCV
- 基于opencv的use摄像头视频采集程序 1 基于opencv的两个摄像头数据采集 3 能激发你用代码做视频的冲动程序 6 图像反转(就是把黑的变白,白的变黑) 11 图像格式的转换 12 从摄像头或者AVI文件中得到视频流,对视频流进行边缘检测 13 采用Canny算子进行边缘检测 15 角点检测 18 图像的旋转加缩放(效果很拽,用地球做就像谷歌地球似的) 21 Log-Polar极坐标变换 22 对图像进行形态学操作(图像的开闭,腐蚀和膨胀运算)
test4
- 单高斯背景建模方法 检测视频中的运动物体 配置环境vs2012+opencv2.0-Vs2012+opencv2.0 moving object configuration environment single Gauss background modeling method detection in video
GUASSIANS
- 运动目标检车背景建模,基于混合高斯模型,附有应用的图片-Moving target inspection car background modeling, Gaussian mixture model, with a picture of the application
background-modeling
- 随着智能监控技术的快速发展, 基于数字视频的智能视频监控系统代替原来的人力监控在越来越多的公共场所获得了应用。然而, 在实际的户外监控环境下, 由于光线变化以及初始背景样本的多样性, 难以建立良好的背景样本。针对上述问题, 提出了一种自适应的背景建模方法。其中自适应指两个方面: 第一 背景的自动更新 第二, 不需要使用背景帧样本作为模型训练的输人。在此基础上, 建立了针对户外交通环境的智能车辆监控系统。实验结果表明, 上述方法在动态场景的车辆检测中取得了较好的效果。-With the rapid