搜索资源列表
GeroundImagsDetection
- 一个图像背景差分边缘提取，采用OpenCV来完成源代码。-A background difference image edge detection using OpenCV to complete the source code.
RemoveBackground
- 基于VC++6.0开发环境，用OpenCv编程，实现背景和图像的分离，提取不均匀的背景，并从原图像中减去背景图像！-VC++6.0 based development environment, with OpenCv programming, background and image separation, extraction uneven background, and subtracted from the original image background image!
13
- 使用opencv实现图像的背景提取，其中很好的实现了背景的提取-Using opencv background of image extraction, which achieved a good background extraction
GMM_bg_ex
- Visual C++ 与 Opencv 联合实现的混合高斯模型背景提取与更新。-Opencv Visual C++ and the joint implementation of the Gaussian mixture model background extraction and updating.
Object_Detection_GM
- 基于opencv，对场景背景Gaussian Mixture建模，从而提取前景目标-Moving Target Detection based on back ground modeled as Gassian Mixture
backgroundplus
- 背景提取 前后背景分离 opencv vc-sub background and foreground
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
motion-detection-techniques
- 研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种改进的混合高斯模型更新算法.在Visual C++6.0中利用OpenCV完成了相关算法,成功地提取出了运动目标和实验场景的背景,验证了该改进的混合高斯模型更新算法的可行性-OpenCV-based motion detection techniques I have read some articles, I feel you can, share
BJ
- opencv下背景的提取，linux环境下已跑通，能较好分离背景！-background extraction in opencv under linux environment to run through, good separation of the background!
PR2
- 实现基于OpenCV的SVM目标分类,SVM提取目标跟背景-object classification based on SVM
VCPOpenCVPget-background
- 提取静态场景的背景，用于图像图像目标检测，使用OpenCV平台，请在在vc++环境下运行 -Extract the static scene background for the image image target detection using OpenCV platform, running in vc++ environment
GaussianModelTest
- 基于混合高斯模型的视频图像背景提取，在qt creator环境下实现-Gaussian mixture model-based video image background extraction
Opengcv-beijingchafa
- 采用背景差发实现运动物体提取，必须配置好opencv，否则会出现代码不能解析缺少dll文件的问题！-The background subtraction hair moving object extraction, you must configure opencv otherwise the code can not resolve the missing dll files!
camshift-tracking-based-on-opencv
- camshift算法跟踪-运行效果好.rar，是基于opencv的camshift算法，能提取背景、前景，实现对目标的跟踪，已调试能运行。-camshift algorithm track- good running effect rar, is based on the opencv camshift algorithm can extract the background, foreground, to achieve the goal of tracking, debugging can
ExtractForeground
- opencv 调用，视频前景目标分割，动目标提取，对静态视频背景进行分割，提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
平均背景法-动静态背景视频前景目标提取
- 平均背景法， 动静态视频前景目标提取， 输出mask， opencv(Average background method, dynamic and static video foreground target extraction, output mask, opencv)
opncv
- 动态目标追踪和前景背景提取，使用Python和opencv编程(Dynamic object tracking and foreground background extraction, using Python and opencv programming)
第一种方法的输出
- 背景减除提取前景并保存前景视频，利用的是opencv python(Background subtraction extracts foreground and saves foreground videos)
HelloText
- 利用OPENCV自带库，读取摄像头，采集信号，扣除背景，计算质心，(Use OPENCV library, read the camera, collect signals, subtract the background, calculate the centroid,)
BeiJingFenLi2
- 混合高斯背景建模进行背景分离，在实行膨胀腐蚀操作提取运动目标特征(Mixed Gaussian Background Modeling for Background Segmentation, Extraction of Moving Target Features During Erosion Operation)