In the technical field of video compression, optical flow fields can be used to demonstrate directions and speeds of motion information on all pixels within a video frame. The information that the optical flow fields provide is very useful for compressing videos or decoding compressed videos since the information can help to reduce efforts needed for searching each pixel of a frame from adjacent frames.
Under traditional technologies, the optical flow fields are generally obtained by estimations through captured still or video images. These approaches involve complex algorithms and are time consuming. Furthermore, such approaches may involve technologies such as texture decompositions, which make it inapplicable to real-time applications, such as aerial video imaging applications.
In view of the foregoing, there is a need for imaging systems and methods that can construct optical flow fields in a rapid and cost-effective manner.