KanadeLucasTomasi
Kanade-Lucas-Tomasi, commonly referred to as the KLT feature tracker, is a method for tracking distinct image points across video frames. It is named for Takeo Kanade, Brian Lucas, and Takeo Tomasi, whose contributions in the 1980s and 1990s established the approach and popularized its use in computer vision.
The core idea of the KLT tracker is to estimate the motion of a small patch around
In practice, the method is often implemented with a pyramidal, coarse-to-fine approach to handle larger motions
Applications of the KLT tracker span motion estimation, visual odometry, structure from motion, object tracking, and