Summary
In this chapter, we learned about object tracking. We learned how to use the HSV colorspace to track colored objects. We discussed clustering techniques used for object tracking and how we can build an interactive object tracker using the CAMShift algorithm. We learned about corner detectors and how to track corners in a live video. We discussed how to track features in a video using optical flow. We also learned the concepts behind Lucas-Kanade and Farneback algorithms and implemented them as well.
In the next chapter, we will discuss segmentation algorithms and see how we can use them for text recognition.
