搜索资源列表
tracking
- 一个用opencv实现的目标跟踪程序，可以捕捉AVI视频中的运动目标并实现定位
cvmedianfilterDlg
- windows下用opencv实现的图像变换和视频跟踪，做图像视频处理的可以好好研究一下！-windows achieved using opencv image transform and video tracking, so video images can be handled properly to look at!
lkdemo
- lk demo - opencv demo for image tracking-lk demo- opencv demo for image tracking
codigo_tracking
- Code to tracking objects with Opencv
Walk
- OPENCV视频跟踪的视频流，希望能用来跟踪-OPENCV video tracking of the video stream, hoping to track
GMM
- 混合高斯模型做的视频跟踪系统，具有良好的跟踪效果-Gaussian mixture model to do a video tracking system, has a good tracking results
FYP3
- Foreground object tracking by method of frame difference using OpenCV 2.1
meanshif-demo
- VC++ meanshift跟踪摄像头内目标的源码。无需opencv。需要directshow环境。 先点击确定，摄像头采集图像。然后拖动鼠标在图像中画红框，即可标定目标。 然后点击开始即可实现meanshift跟踪-VC++ meanshift within the target tracking camera source. No opencv. Need directshow environment. First click OK, the camera capture image
video-detection-motion-tracking
- VC编写，应用opencv开源库的视频运动目标跟踪程序，其算法是基于视频采集角点滤波-VC prepared the application opencv open source library of video moving target tracking procedures, the algorithm is based on the video capture corner filter
exam1
- OpenCV和VS2005编写的一个跟踪的小程序，已经编译通过，虽然效果不是很好，但学习用可以。-OpenCV and VS2005 prepared a tracking program has been compiled through, although the effect is not very good, but learn.
OpenCV
- OpenCV CamShift. Real time hand tracking using backprojection , camshift and kalaman filter
CAMSHIFT
- 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。 该运行文件在VC6.0环境下编译通过，是一个 stand-alone 运行程序，不需要OPENCV的DLL库支持。在运行之前，请先连接好USB接口的摄像头。然后可以用鼠标选定欲跟踪目标。已经调通了。-CAMSHIFT algorithm using rapid detection and tracking moving targets C/C+
MyVideo1.0_AutoCamshift
- 基于opencv的目标跟踪程序，可以对车辆等进行跟踪-Based on opencv target tracking program, you can track vehicles
VC-examples-of-dual-cameras
- 基于OPENCV的双摄像头的VC跟踪实例,声明：需要配置OPENCV-Based on the VC OPENCV dual camera tracking instance, declared: you need to configure OPENCV
fall
- 混合高斯背景建模与CamShift算法结合的基于openCV的视频目标跟踪(OpenCV based video target tracking combined with hybrid Gauss background modeling and CamShift algorithm)