In the previous two recipes, we learned how to track the motion of points and pixels in an image sequence. In many applications, however, the usual requirement is to track a specific moving object in a video. An object of interest is first identified, and then it must be followed over a long sequence. This is challenging because, as it evolves in the scene, the image of this object will undergo many changes in appearance due to viewpoint and illumination variations, non-rigid motion, occlusion, and more.
This recipe presents some of the object-tracking algorithms implemented in the OpenCV library. These implementations are based on a common framework, which facilitates the substitution of one method by another. Contributors have also made a number of new methods available. Note that we have already presented a solution to the object-tracking problem...
