
Counter-terrorism and law enforcement have long relied on video surveillance as an essential tool. However, it has limitations. One of the biggest challenges is programming software to recognize specific people in variable conditions; such as low light, cluttered backgrounds, or when they shave beards.
Associate computer science professor Chris Bregler is studying whether security threats can be identified by the way they walk. Using the same motion capture technology used in The Lord of the Rings information is currently being loaded into computer to compile a large database.
So how does this actually work?
Of course, right now this technology is still in the laboratory. But one day we should see it hit the streets.
Laurize Mimay is the Operations Manager for Michael Saad International and is responsible for the day-to-day operations of the firm and supervision of it's divisions.