Summary

Writing computer vision applications that perform real-time image processing is one of the hot topics of today, and OpenCV contains many classes and functions to help with simplifying the development of such applications. In this chapter, we tried to cover some of the most important classes and functions provided by OpenCV for real-time processing of videos and images. We learned about the MeanShift, CamShift, and background subtraction algorithms in OpenCV, which are packed into fast and efficient classes which are, at the same time, very easy to use, provided that you are familiar with the basic concepts used in most of them, such as histograms and back-projection images. That is why we started by learning all about histograms, how they are calculated, visualized, and compared with each other. We also learned how back-projection images are calculated and used as a lookup table to update images. We used the same also in the MeanShift/CamShift algorithms to track objects of specific...