搜索资源列表
program1
- 动态背景建模的程序，可以检测出动态物体，实时更新背景-Dynamic background modeling program, can detect the dynamic objects, updated in real time background
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
shexiangtoudeweidaima
- 摄像头的相关处理，背景建模，运动物体检测,简单的思路-A correlation process of the camera, background modeling, the moving object detection, the simple idea
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
GMMPSkinColor
- 经典的高斯混合模型背景建模+肤色检测的Matlab实现-Classic Gaussian mixture model background modeling+ skin detection Matlab achieve
Untitled
- 基于背景减除法的混合高斯背景建模，用于检测运动目标-Gaussian mixture background modeling based on background subtraction method for detecting moving targets
GaitRecognition
- 里面包含了步态识别的整一套流程的代码实现，包括从视频流里面提取图片帧，背景建模，提取运动目标（运动检测），形态学处理（膨胀与腐蚀，连通性检测），归一化大小，步态能量图的构建，主成分分析（PCA）降维,线性判别分析（LDA）分类等等功能的代码实现。均通过测试。-Contains the gait recognition of the whole process of a set of code, including the extraction and picture frames from th
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
gaussian4_28
- 用matlab实现混合高斯背景建模,进一步检测出运动目标-Using matlab to achieve Gaussian mixture background modeling
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
finally
- 实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪-Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking
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!
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
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_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
abc
- 基于混合高斯模型背景建模法来检测运动目标-Gaussian mixture model-based background modeling method to detect moving targets
BackgroundCodebookConstruction
- 背景分离码本建模法，在静态背景下检测运动物体，并提供了一段监控视频以供测试-Background Modeling and Subtraction by Codebook Construction. Supply a video for testing.