The KLT (Kanade-Lucas-Tomasi) is an algorithm for computer vision that tracks points in a sequence of images (a video for example). Points are selected by being at the corner pixels of the image (pixels where edges intersect). Depending on how an image in the sequence distorts into the next, the algorithm computes an optical flow that allows to track the detected points in time, until the disappear from the image and are replaced by new ones.