This chapter has provided the reader with several interesting concepts. We have covered a solid background on the boosting theory as well as working on a practical example. Then, we also covered OpenCV's Viola-Jones cascade classifier, and a hands-on approach was applied in order to use a classifier through the CascadeClassifier class. After that, we covered a complete, real-world example for creating a new car classifier, which can be adapted for any mostly rigid object of your preference.

In the next chapter, we will study and practice the field of background subtraction using pure image-processing methods through frame differencing and averaging background, and the interesting Kinect device for depth maps.