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This story is from the category Artificial Intelligence
Date posted: 14/06/2012 A system being developed by Christopher Amato, a postdoc at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), can perform security-camera analysis to identify potential terrorists or illegal entry more accurately and in a fraction of the time it would take a human camera operator. “You can’t have a person staring at every single screen, and even if you did the person might not know exactly what to look for,” Amato says. “For example, a person is not going to be very good at searching through pages and pages of faces to try to match [an intruder] with a known criminal or terrorist.” Existing computer vision systems designed to carry out this task automatically tend to be fairly slow, Amato says. “Sometimes it’s important to come up with an alarm immediately, even if you are not yet positive exactly what it is happening,” he says. “If something bad is going on, you want to know about it as soon as possible.” So Amato and colleagues Komal Kapoor, Nisheeth Srivastava and Paul Schrater at the University of Minnesota are developing a system that uses mathematics to reach a compromise between accuracy — so the system does not trigger an alarm every time a cat walks in front of the camera, for example — with the speed needed to allow security staff to act on an intrusion as quickly as possible. See the full Story via external site: www.kurzweilai.net Most recent stories in this category (Artificial Intelligence): 18/04/2013: NASA's Plan to Advance Robotics by Robotically Capturing small Asteroid |
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