This manual guides the user, in a tutorial fashion, through the essentials of KLT. Chapter 2 contains all that is needed to select good features, track them from one image to the next, and write the results. When features are lost (due to a large residue, drifting out of bounds, etc.), they can be replaced by finding features in the new image, a process which is described in Chapter 3. Chapter 4 explains a technique for speeding up the computation in the case of tracking through an image sequence. Chapter 5 describes an extension allowing the features from multiple frames to be stored in one data structure, which can then be saved to a file. Chapter 6 shows how to recall this structure and extract features from it. Finally, Chapter 7 shows how to customize the tracker by manually setting the various parameters.
Most of these chapters contain example code, which is also provided with the distribution of KLT.