Tutorial: OpenCV haartraining (Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features) - Naotoshi Seo. Tutorial: OpenCV haartraining (Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features) Objective The OpenCV library provides us a greatly interesting demonstration for a face detection.
Furthermore, it provides us programs (or functions) that they used to train classifiers for their face detection system, called HaarTraining, so that we can create our own object classifiers using these functions. InstallGuide. 1) If you want the stable 2.4.0 release of OpenCV, get it here for Windows , Linux or Mac and Android .
(Or if you want the latest code being developed each day, get it from our SVN server ) 2) Install CMake and some prerequisite libraries. (You can skip this if you just use the pre-built Visual Studio 2008/2010 binaries for Windows). 3) Use CMake to build OpenCV binaries (such as "opencv_core240.dll" or "libopencv_core.so.2.4.0") from the source code. (You can skip this if you use the pre-built Visual Studio 2008/2010 binaries for Windows). Haar Cascades. Downloads - handtracking - The project involves tracking hands in videos, and in real time image capture using a webcam. Haarcascade3.xml - handtracking - fist xml - The project involves tracking hands in videos, and in real time image capture using a webcam. Real-Time Logo Detection and Tracking. Opencv-haar-cascade-positive-image-builder - Create positive and negative images to be used in OpenCV Haar Cascade training.
CCV - Hand Tracking Module - /Final/haarcascade.xml - NUI Group Community Code. Using Haar Cascades and OpenCV in AS3.