搜索资源列表
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
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.
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
Depth_Chapter_11
- 深度图 获取场景中各点相对于摄象机的距离是计算机视觉系统的重要任务之一.场景中各点相对于摄象机的距离可以用深度图(Depth Map)来表示,即深度图中的每一个像素值表示场景中某一点与摄像机之间的距离-Scene depth map for each point the distance relative to the camera computer vision system is one of the important tasks. Scene points relative to the
DetectiveContour
- 视频场景切换及轮廓检测(VS2008+opencv),采用VC编写,注意源代码里的视频名称是“sunyanzi.avi”,改成自己的视频名称即可-scene change detection and detective contours,write with vc,remember change the name of video in the code into yours
0526-1
- 摄像机标定程序,读入棋盘宽高,读入收集到的不同场景图像,然后标定摄像机。-Camera calibration procedures, read the board width, height, read the collected images of different scenes, and then calibrate the camera.
Meanshift
- 本系统为主动视觉跟踪系统,采用meanshift和kalman滤波相结合,能较好地在光线比较恒定的场景进行主动跟踪。-It is an active tracking system which is based on meanshift and kalman, it has a robust performance in steady environment
ch11_ex11_1
- 读入棋盘的高度和宽度读入收集到的不同场景和对象,然后标定摄像机-Read the height and width of the board gathered to read the different scenes and objects, and camera calibration
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
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
testMatchTemplateCAM
- 通过调用OpenCV库,采用逐差法进行视频跟踪。在源码中输入要跟踪的图样,运行文件,程序可以识别跟踪摄像头摄取场景内与图样相关性最高的目标-By calling the OpenCV library, using a case-by-difference method for video tracking. Input source you want to track the pattern, run the file, the program can identify tracking cam
find_obj
- 在监控系统的某一场景下,检测是否有物体存在,并定位其位置。-The scene of a monitoring system to detect whether there are objects and locate its position.
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
3
- 输入: 自拍两幅同一个场景(或物体)的角度/远近有差别的图像 (对于学有余力的同学,建议多测试几张角度/远近差别较大的图像) 任务: 在每张图像中检测特征点位置并将匹配画出匹配得最好的10-20对特征点 输出要求(以下三个结果分别输出,不要重叠在一张图上): 1. 在两张图上分别画出检测到的特征点位置 2. 对匹配得最好的10-20对特征点:每对特征点对用连接线画出 3. 用椭圆形式在图上画出上述每个特征点的描述子方向与尺度等信息 编程工具: Visual
vehicle-detection
- 基于帧间差分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 frame difference method is used to detect scene using the Visual C++ and OpenCV realization procedures detailed notes, and come with a test video
TurnYourBook
- 实现挥手翻书的的源码,但是在部分场景下的反映不够灵敏,只供学习-Wave open book source, but a reflection in part of the scene is not sensitive enough for learning
people-detect-and-height-measu
- 对任意标定过的场景进行行人检测,并测定出其身高,内附有自己标定的图片和相关算法的论文若干篇,people detect and height measurement
CV5
- 本程序功能是由运动(估计)恢复仿射结构,具体使用的是factorization分解法。这个方法的本质就是一个矩阵分解的过程:对于给定n个点的m幅图像,我们可以写成一个2m*n的矩阵D=(q1,q2,…,qn),而这个像点矩阵可以表示成一个2m*3矩阵和一个3*n矩阵的乘积,即D=AP,其中A、P分别表示实际(仿射)摄像机位移和场景状态,也就是我们需要求得的矩阵。而如何根据D来得到A、P,正是factorization分解法的工作。-This program features the recove
KALMANPI-TRACKING
- 在视频场景中检测到行人的存在,并用红色矩形框对行人进行跟踪-In the presence of a pedestrian is detected in the video scene, and with a red rectangle pedestrian tracking
GMMtest
- 混合高斯模型,用于多模态场景中的背景前景检测,还特意实现了RGB前景目标的显示,用vs2010+opencv2.3.0开发-Used for background modeling, the gaussian mixture model can display the backgrounds, prospects. Can be used for multimodal,