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facedetect 利用摄像机视频流采集识别人脸
- 本例程基于c++6.0和OpenCV结合实现了，利用摄像机视频流采集识别人脸，准确快捷-Based on the routine c++ 6.0 and OpenCV combining realization, the use of video cameras to streaming video collection of face recognition, accurate and fast
OpenCV-code 基于C/C++语言的开源图像处理函数库
- OpenCV是一个基于C/C++语言的开源图像处理函数库,其代码都经过优化，可用于实时处理图像,具有良好的可移植性,可以进行图像/视频载入、保存和采集的常规操作.-OpenCV is based on C/C++ language, open source image processing library, the code have been optimized for real-time image processing, has good portability, can images/v
V_CameraVideoAnalysi
- 使用OpenCV 2.1分析Notebook camera采集到的视频(格式WMA),分析是否有丢帧的现象发生.编译环境:VC2008 MFC,OpenCV版本是2.1. 如果发生丢帧现象,则会在界面上显示丢帧的位置. 另外,程式还可以得到视频的相关信息,如FPS-Notebook camera using OpenCV 2.1 Analysis of collected video (format WMA), analysis of the phenomenon have droppe
StereoMatching
- 本程序是通过OPENCV实现采集一个摄像头视频信息，主要采用了DirectShow等函数来实现，可用于视频监控等着的前期视频采集工作，希望对您有所帮助！-This procedure is achieved by collecting OPENCV a video camera, the main use of DirectShow and other functions to achieve, can be used for video surveillance video capture w
CVideo(three-camerads)
- 本程序用于实现三个摄像头即对三录视频源信号进行采集并在同一个对话框进行显示，本程序为进行三个场景视频源保存及实现三录画面实时的视频监控的基础，希望对于实现多录视频源监控和朋友有所帮助-The procedure used to implement three of the three cameras that recorded the video source signal acquisition and display in a dialog box with the program for
camerads
- 基于DIRECTSHOW的视频采集程序，OPENCV-DIRECTSHOW based video capture program, OPENCV
CVideo-twocamerads
- 本程序用OPENCV实现两个摄像头视频信息同时采集，主要运用DirectShow及CameraDS来实现的。本程序主要用于视频监控等工作的前期视频采集工作！希望对大家的视频处理有帮助-The procedure used to achieve two OPENCV video cameras capture the same time, the main use of DirectShow and CameraDS to achieve. This procedure is mainly use
CVMFC
- 本程序是在 MFC 中使用 OpenCV 的演示程序，由3部分组成。 1、Windows 下用 MFC 编制的程序框架；2、调用 OpenCV 函数实现处理；3、用 DirectShow 编制的视频采集程序-This procedure is used in OpenCV MFC demo program consists of 3 parts. 1, Windows programs under preparation with the MFC framework 2 OpenCV fu
ImageProcessing(openCV)
- 一个基于openCV的图像处理程序，包含有边缘检测，图像匹配，形态学变换，金字塔采样，视频采集，相机标定等各种函数。-OpenCV-based image processing program includes edge detection, image matching, morphological transformation, the pyramid samples, video capture, camera calibration and other functions.
opencamera
- 在MFC下使用opencv实现摄像头视频显示，图像采集，以及使用camshift实现物体的追踪。自己参考别人写的，诸多不好之处，敬请谅解-Use opencv realized in MFC camera video display, image acquisition, and tracking objects using camshift achieve. Own reference written by someone else, a lot of not very good, pleas
directcam
- 采集两个摄像头的图像并转换成为灰度图，在显示屏上显示。-Two cameras capture images and convert them into grayscale, in the display.
startcv
- 在VS2008下测试openCV是否配置成功的摄像头启动程序，该代码从摄像头采集视频流-In VS2008 the test openCV is configured successful camera to start the program, the code from the camera to capture video stream
motion-tracking-system-
- 本文分析比较了传统运动目标检测的3种主要方法:背景图像差分法、时态差分法和光流法,在此基础上给出了一种背景图像预测算法,大大减少了因为背景变化而产生的目标检测误差。本文基于OpenCV设计出改进的运动目标检测与跟踪算法,实现了运动目标的跟踪,并在VC++编译环境下,利用USB摄像头作为视频采集器,通过观察实验结果可以看出,本文的运动目标检测算法能够正确地检测出视频图像中的运动目标,而且在检测性能上优于普通的自适应背景差分法。 -OpenCV-based motion tracking sys
OCameraAdjustp
- 通过opencv实现现的网络视频采集程序。 -Opencv network achieved throuugh the video capture process.
CamaraTest
- QT+OpenCV实现多摄像头采集视频,可以用于之后的双目视觉的三维重建-QT+OpenCV implement video capturing
Image_MFC
- OpenCV采集USB摄像头视频，随时保存一帧图像-OpenCV USB camera video capture, save an image at any time
opencv_example3
- opencv例子：可以实现采集摄像头并且录像-opencv example: acquisition camera and video
VideoMonitoringSystem
- 本系统从摄像头实时采集视频并显示，相片拍照，预览与管理。本系统支持多平台多操作系统，对多种摄像头采集方法的支持，使用工厂模式进行封装，提供了统一的摄像头视频采集接口。本系统的Qt开发版本 Windows: Qt 4.4.3 Linux: qt-embedded-linux-opensource-src-4.4.1-The real-time acquisition system from the video camera and display, photos photos, previ
AsynchronousGrabDIY
- 基于Vimba的工业相机视屏采集软件，包含保存图像、调节对比度，亮度的功能。 需要先安装vimba(Vimba based industrial camera screen acquisition software, including saving images, adjusting contrast, brightness function.)
select
- 本程序实现了人脸图片的快速采集，使用环境Python3.x,需要电脑连接摄像头，打开PythonIDLE，按下F5运行代码即可进行采集图片(This program has achieved the rapid acquisition of face images. The Python3.x of the environment needs computer to connect the camera, open PythonIDLE and press F5 to run the code