搜索资源列表
klt1.3.2
- source code and ref manual of KLT. KLT is an implementation, in the C programming language, of a feature tracker for the computer vision community. -source code and manual of KLT ref. KLT is an i mplementation. in the C programming language, a featur
daoi_0-32.tar
- This file contains a summary of what you will find in each of the files that make up your Tracker application.-This file contains a summary of what you wil l find in each of the files that make up your Track er application.
visualtracker
- Video Tracker Version 0.0.1 \"Visual tracking and recognition using appearance-adaptive models in particle filters\" (IEEE transactions on Image Processing, Nov 2004) by Shaohua Zhou, Rama Chellappa and Baback Moghaddam. -Video Tracker Version 0.0.
bfltrack.tar
- color based particle tracker
blobs_src
- Real-Time Object Tracker in C++. tracking moving or static objects with conventional web cam at far bigger than real-time speed.
klt1.3.3
- Kanade-Lucas-Tomasi Feature Tracker,用于实现图像目标跟踪算法。
Tracker
- 在vc环境下，实现一个跟踪目标程序，运用了哈夫变换等多种算法
nuralmppt
- the nural maximum power point tracker is the very important method to reach to the mppt point
Implementaciones_matlab
- Deal about important blob tracker
TracKIT
- TrackIT是一款开放式的机器视觉开发平台，目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件，并在不断添加更新中，采用开源OpenCV、WxWidgets、CMU139等标准工具，使用XML动态解析界面，所有参数在界面上直接调整，同时可立即看到调整效果，并可动态加载组件，可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。
tracker
- 人体识别跟踪程序，可自动计算识别人体，并根据运动趋势跟踪，重点设别头部和面部-Human identification and tracking procedures, can be automatically calculated to identify the body, and in accordance with the trend of tracking campaigns, the focus for other head and facial
Factorization
- Lucas-Kanader-Tomasi Feature Tracker，由运动恢复结构的问题，目的是从一组由摄像机移动获得的图像来恢复一个场景的立体结构。对于这个问题，C.Tomasi和T.Kanade[1]于1992年提出了一种Factorization的方法，可以有效地避免噪声的干扰，同时不会受限于特定的运动模型，例如单纯的平移或是旋转。-Lucas-Kanader-Tomasi Feature Tracker, by the movement to restore the structu
LucasKanadeTracker
- Lucas-Kanader-Tomasi Feature Tracker，基于B.D.Lucas和T.Kanade[1]于1981的早期工作，于1991年由C.Tomasi和T.Kanade[2]完整导出，并于1994年由J.Shi和C.Tomasi[3]在文章中清楚地阐述。J.Y.Bougue[4]于2000年给出了此算法的一种实现，并收录在Intel公司的计算机视觉函数库OpenCV中。本例是此算法基于OpenCv的代码实现-Lucas-Kanader-Tomasi Feature Trac
meanshift_ads
- meanshift 的ads版本，可以在ADS1.2下编译通过，优化之后可以用做手机版本的运动跟踪器-meanshift versions of the ads can be compiled under ADS1.2 passed, after the optimization can be used as cell phone version of the campaign tracker
tracker
- 如橡皮筋一样可以任意选取矩形框，程序建议，功能强大-Such as rubber band can be selected as the rectangular box, the program suggested that a powerful
tracker
- 用vc编辑的跟踪条代码，可以实现多功能的的跟踪-Vc editor with tracking lines of code, you can achieve the tracking of multi-functional
fuzzymppt
- fuzzy maximum power point tracker is the good choice for increase the efficiency
PyramidalImplementationoftheLucasKanadeFeatureTra
- Pyramidal Implementation of the Lucas Kanade Feature Tracker Descr iption of the algorithm
Tracker
- 关于跟踪领域相当有名的均值平移的改进算法 效果还不错 直接用VC就可以跑起来。源码相当清楚-The field on the track quite well-known mean shift algorithm to improve the effectiveness of the direct use of well can run up on the VC. Source is quite clear
TrackEye_SourceCode
- Complete eye tracker with haarcascade and PAC