Computer vision based object recognition principles in education

This article describes the simple step by step system, to teach object recognition and tracking in computer vision systems. Methodology is based on object recognition system complexity incrementation. Student doesn´t need any knowledge about mathematical principles of computer based object detection. This is achieved using OpenCV and other high level libraries. Article consists from explanation of simple detection methods based on OpenCv, to complex pattern-based detection methods provided by OpenTLD libraries. All library recognition methods are explained in C/C++ language and results are illustrated as graphical output images.