搜索资源列表
background-subtraction
- 背景高斯建模 能够很好的实现车辆的检测，可以用于与其他算法的比较-the Background Subtraction for the vehicle detection
Gaussian-modeling-approach
- vc++和opencv,运用高斯建模的方法对场景进行背景建模，背景差分。从而检测出运动的物体，如机动车辆、行人，烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc.
ga
- 基于混合高斯模型的背景建模方法的实现，用C++语言编写-Gaussian mixture model-based background modeling method of implementation, with C++ language
Backgroundtiqu
- 基于OPENCV的背景建模，采用高斯建模，对运动目标进行检测-OPENCV based background modeling, Gaussian modeling, target detection in sports
OPENCVgmm_modeling
- 基于OPENCV高斯背景建模源码，可实现初步的运动目标检测-OPENCV Gaussian background modeling based on source code, enabling the initial detection of moving targets
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
cppbgfg_gaussmix2
- 背景建模方法之高斯混合模型，使用到MOG2。算法快，并且可以进行阴影检测。遍历性：对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on: "Recursive unsupervised learning of fini
GMM
- 运用OpenCV2.0编辑混合高斯背景建模，能够较好的识别四个视频中的运动前景和背景，在一定程度的背景复杂度下，能够较准确检测。-The use OpenCV2.0 edit Gaussian mixture background modeling, and better identification of four video movement in the foreground and background, the background of a certain degree of com
GaussBGModel
- 用opencv实现的运动目标检测算法，程序用的是高斯背景建模法，测试用的是夜间车流量的视频，光线变化不大，效果不错-Moving target detection algorithm, with opencv program with the Gaussian background modeling method, the test is the video of night traffic light changes, the effect is good
gaosi1
- 实现人摔倒检测，其中利用了高斯背景建模，经过编译成功运行，希望对大家有点帮助-Realization of the fall detection, which use a Gaussian background modeling, compiled to run successfully, we hope to be helpful
mixGBm
- 混合高斯背景建模 对运动物体进行检测 有助于初学者-Gauss mixture background model for moving object detection
gaosi
- 基于混合高斯背景建模的方法用于检测场景中的运动车辆，采用Visual C++和OpenCV实现，程序有详细注释，并且附带测试视频，希望对大家有帮助。-The movement of vehicles, based on Gaussian mixture background modeling method for detecting the scene to adopt the Visual C++ and OpenCV realization, procedures detailed note
1GHY3249GAOSI
- 对视频进行操作，基于混合高斯背景建模的运动检测。-Video, movement detection based on Gaussian mixture background modeling.
detect-motion
- 在VC++6.0的MFC中结合opencv1.0的环境中编写的运动目标检测，采用的是背景差分法，混合高斯背景建模-Combined opencv1.0 environment written in the MFC VC++6.0 moving target detection using background subtraction method, Gaussian mixture background modeling
GaussianModel
- 基于Opencv的车辆检测和追踪，使用高斯混合模型建模，识别效果好-Vehicle detection and tracking based on opencv
beijingjianmo
- 多尺度高斯背景建模下的，车辆检测程序。C/C++语言-Multiscale Gaussian background modeling under the vehicle testing procedures. C/C++ language
person-detection
- 采用混合高斯模型和codebook分别进行背景建模，实现行人检测-person detection, GMM and codebook
Gauss_background_modeling
- 基于opencv函数库，利用高斯建模，对视频中的目标进行检测-detect the objects in the video by the method of guass
12354
- 实现了多高斯建模法的视频分割算法和越界检测、运动物体尺寸检测、计数等应用。算法主要由OPENCV实现。 软件目前可实现以下功能： 1）提供高斯建模法研究相应算法实现的效果的影响； 2）可以实现原视频与处理后的视频同时播放，实现跟踪； 3）实现车流量技术计数。 -To achieve a multi-Gaussian modeling method of video segmentation algorithm and cross-border detection, movin
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method