搜索资源列表
read-file
- 背景建模，运动目标检测，读视频文件，opencv中的图像处理-Background modeling, moving object detection, reading and video files, opencv Image Processing
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.
concodebook
- 码本模型背景建模 很好的检测运动物体 对初学者有帮助-The code model background modeling moving object detection is very good help for beginners
bkgrd
- 运动检测方法：利用背景建模来检测运动的物体-Motion Detection: Using background modeling to detect moving objects
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
detecion2
- 混合高斯背景建模，可以将视频中运动的物体提取出来-Gaussian mixture background modeling
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
z
- 本程序使用codebook的建模方法实现了在HSV空间的运动目标检测。-This program uses a codebook of the modeling approach to moving target detection in the HSV space.
bddiff
- 背景建模 背景差法 实现对运动物体的检测-Background modeling, background difference method for the detection of moving objects
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
bjjc
- 利用背景建模检测运动物体（推荐）,适合新手练习以及使用的模板。-Background modeling moving object detection (recommended), suitable for the novice practice and the use of templates.
3
- 本程序利用背景建模检测运动物体，背景差分法-This procedure detects moving objects using background modeling, background subtraction method
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!
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)