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Optical Flow Meter


Optical Flow Meter
 
Optical flow meter describes computerized tracking of moving objects by analyzing content differences between video frames. In a video, both object and the observer may be in motion; the computer can locate cues that mark the boundaries, edges, and regions of individual still images. Detecting their progressions allows the computer to follow an object through time and space. The technology is employed in industries and research, including the operation of unmanned aerial vehicles (UAV) and security systems.

Two primary methods generate this computer vision: gradient-based and feature-based motion detection. Gradient-based optical flow meter measures changes in image intensity through space and time. It scans a dense flow field plane. Feature-based flows overlay edges of objects within frames to mark progress.

This technique resembles camcorder image stabilization, allowing a computed field of vision to be locked into the frame despite camera shake. Optical flow meter 
algorithms calculate matches between images in sequence. The computer divides each image into square grids. Overlaying two images permits comparisons to find the best matches of squares. When the computer locates a match, it draws a line between the points of difference, sometimes called needles.

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