Motion is a very important topic in Computer Vision. Once we detect and isolate an object or person of interest, we can extract valuable data such as positions, velocity, acceleration, and so on. This information can be used for action recognition, behavior pattern studies, video stabilization, augmented reality, and so on.

The Optical Flow technique is a pattern of an object's apparent motion. Surfaces and edges in a visual scene are caused by relative motion between an observer and scene or between the camera and the scene. The concept of the Optical Flow technique is central in Computer Vision and is associated with techniques/tasks such as motion detection, object segmentation, time-to-control information, focus of expansion calculations, luminance, motion compensated encoding, and stereo disparity measurement.

Video tracking consists of locating a moving object (or multiple objects) over time using videos captured from a camera or file. The aim of video tracking is to...