搜索资源列表
blobtrack
- vc++6.0和opencv结合开发的图像跟踪的程序，适合初学者调试-opencv with vc++6.0 and the development of image tracking program, suitable for beginners debugging
Source_Code_SSIP_2009
- eye tracking in opencv visual studio 2005
camshift
- camshift.rar:是基于opencv的一种算算法，能实现对人脸的跟踪。重点采用camshift算法，也应用到了hsv，结合摄像头，会更直观的观察到跟踪结果。-camshift.rar: a calculation based on opencv algorithm can achieve the tracking of human faces. Focus on using camshift algorithm, also applied to the hsv, combining ca
1
- 基于OpenCV的视频道路车辆检测与跟踪-OpenCV-based video detection and tracking of road vehicles
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
kinect-control-mouse
- kinect 开发 3D实时跟踪 体感操控-kinect development of 3D real-time tracking
OpticalFlow-OPenCV
- 基于opencv的稀疏光流法，用来跟踪。由外国专家David Stavens所写-Opencv optical flow based on the sparse method, used for tracking. Written by foreign experts David Stavens
meanshift-tracking
- 利用OpenCV函数的meanshift跟踪，用于演示跟踪效果，可以学习改进。-Meanshift tracking--AppWizard has created this ShadowTrack application for you.
dt
- opencv 高速公路车辆跟踪监测-opencv highway vehicle tracking and monitoring
320dd
- Opencv动态图像跟踪，预测，卡尔曼编程-Opencv dynamic image tracking, forecasting, Kalman programming
mouse_kalman
- 利用VC6.0编写，基于OPenCV库的Kalman滤波程序，对鼠标的运动进行Kalman滤波、预测和跟踪。-Use VC6.0 to write, based on Kalman filtering procedures OPenCV library of mouse movement Kalman filtering, forecasting and tracking.
ConsoleCV
- OPENCV HUMAN TRACKING HAVE A NICE DAY
FACE_PROJECT_opencv
- this adaboost based real time face detection and tracking system i used a adaboost and camshift algorithm with opencv and vc++ The detεction efficiency of the method is not good for environment of dynanlic illumination. We propose a combined meth
blinkdetect1-src
- OpenCV Tracking Eye with Blind detection Source Code
OpenTLD
- 用于在视频中进行运动物体的跟踪。matlab与c混合编程，需要用到openCV。-For tracking moving objects in the video.
motion-tracking-and-implementation
- 目标跟踪是计算机视觉的一个重要分支,日益广泛应用于科学技术、国防安全、航空、医药卫生以及国民经济等领域。实现目标跟踪的关键在于完整地分割目标、合理提取特征和准确地识别目标,同时,要考虑算法实现的时间,以保证实时性。当视频图像中被跟踪目标发生姿态变化,存在旋转或部分遮挡时,简单的灰度模板或者Hausdorff距离匹配一般很难达到实时跟踪目标的要求,出现误匹配或者跟踪丢失的情况,而且跟踪效率较低。Gary R.Bradski提出的CAMSHIFT[1](Continu-ously Adaptive
target-detection-and-tracking
- 论文针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪，利用OPENCV的运动物体跟踪的数据结构、函数和基本框架，建立一个由人机交互界面模块，运动物体的前景检测模块，运动物体的团块特征检测模块等，最后使用建立的系统进行了实验，结果表明系统能正确的进行运动物体的实时检测和跟踪，并具有良好的鲁棒性。-OpenCV-based moving target detection and tracking of some of the articles I read, I feel you c
CamShift-tracking
- CamShift 跟踪，基于颜色的跟踪算法，用opencv实现-CamShift tracking
Bkalman_camsha
- 基于opencv的例子使用meanshift算法追踪屏幕中中的白点,利用kalman移动搜索框.，已通过测试。 -Based on the example of the use of opencv tracking algorithm meanshift white sscreen, use the search box kalman mobile. Complete source code, has been tested.
opencv
- 基于OpenCV的视频道路车辆检测与跟踪的一篇论文-OpenCV video road vehicle detection and tracking of paper