AdaBoost Runtime

Software library written in C/C++ that performs efficient two class image classification with Haar feature based WaldBoost classifiers. The classifier is stored as single XML file that defines positions and parametrs of all image features that needs to be evaluated to get classifier response. Library provides single image classification and also image scan (with axis aligned window) to get response from all image subwindows. Library also offers simple image pyramid generation to provide multi resolution image scan so objects of various size can be detected with single classifier.