Summary
In this chapter, we learned about object detection and tracking. We understood how to install OpenCV with Python support on various operating systems. We learned about frame differencing and used it to detect the moving parts in a video. We discussed how to track human skin using color spaces. We talked about background subtraction and how it can be used to track objects in static scenes. We built an interactive object tracker using the CAMShift algorithm.
We learned how to build an optical flow-based tracker. We discussed face detection techniques and understood the concepts of Haar cascades and integral images. We used this technique to build an eye detector and tracker.
In the next chapter, we will discuss artificial neural networks and use those techniques to build an optical character recognition engine.
