Tracking Software Uses Reasoning to Figure Out Who and Where You Are
http://www.popsci.com/technology/article/2011-03/tracking-software-uses-reasoning-figure-out-who-and-where-you-are
Researchers at SUNY Buffalo and Amrita University in India have managed
to create a tracking network that works well even with the cheapest of
cameras. How? It uses the power of its cold, rational brain to make up
for any flaws in the equipment.
The idea behind the software was to eliminate the need for other, more
physical forms of tracking, like RFID (or, in the future, RFID's more
powerful brother, NFC), but using artificial intelligence to supplement
mid- or even low-end cameras. Simply recognizing a face from a security
camera is no joke--people can look vastly different day to day, and
there are all kinds of variables (angle, lighting, clothing, posture)
that can throw off the effectiveness of that kind of software. But what
if said software could make certain rational assumptions?
This system requires cameras -- though not necessarily top-of-the-line
cameras -- be placed at building entrances or exits, a place where they
can capture with reasonable quality a person's face, height, or gait.
That information is fed to a central computer, which notes not only the
appearance of that person but also their location. From there, the
central computer cross-checks that person's scan with all the others
currently in the building, thereby eliminating some of the troublesome
variables. If Dr. ScrubStealer is in the supply closet on the fifth
floor, she couldn't possibly also be the similar-looking Nurse
SleepsALot, who is down in the second-floor lounge, napping in the
middle of her shift.
That further reasoning allows the system to identify people with much
higher accuracy than other systems using low-quality cameras, which can
be a boon for struggling hospitals (hospitals being one of the prime
candidates for the system) that are unable to pay for pricey HD security
loops. The only possible foil: Twins.
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