MIT Breakthrough Sees Invisible Motion in Videos

Movements that the human eye can't see are now clear as day

By on February 28th, 2013 14:07 GMT

There are lots of things that the human eye can't see, or perhaps we should say there are a lot of things that humans cannot notice even if the eye does. MIT researchers figured this was unacceptable.

Whenever we open our eyes, we are assaulted by colors, and their interactions form into outlines and shades, etc.

Nevertheless, even for people whose eyes can capture tiny details, there are many things that are never actually noticed. Things like heart rate, blood flow, slight movements, “invisible” air currents.

Scientists from the MIT (Massachusetts Institute of Technology) have invented a technology, a software process really, called Eulerian Video Magnification.

The researchers all work in the Computer Science and Artificial Intelligence Laboratory and can reveal blood flow, buildings swaying in the wind, fatigue in bolts and rivets, etc.

The software by no means reveals all the unseen happenings around us, but it definitely shows a lot of them.

A person's face flushing as the blood pumps from their heart is one example of change that eyesight can't normally distinguish.

The invisible motion is captured by breaking each video down frame-by-frame to the pixel. The pixel reveals subtle color changes.

A magnification process then exaggerates those colors to mimic movement. So, in a sense, we aren't so much seeing the unseen and applying the concept of hyperbole to it. A slight change becomes a clear visual difference.

No matter how many words we use though, nothing can compare to a picture or, even better, a video of the technique in action. Watch it below, where we have embedded it for your convenience.

The video immediately below it has the technical aspects of the technologies, for whoever is interested in such things. We will definitely be keeping an eye out for more updates on this.



MIT makes software that detects invisible changes
   MIT makes software that detects invisible changes
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