Big Brother is watching you, though probably not in the ways most of us would imagine. Sure, the cameras at banks or airport checkpoints may be on the lookout for robbers or would-be terrorists, using facial recognition technology to match pictures to existing ones. But private enterprise is busy as well. If you tag a picture of yourself on Facebook or Google's Picasa, that image can be used to identify you in other pictures. Adam Harvey says the technology is intruding on your right to privacy, and he's figured out some low-tech ways to outsmart them. "Don't ask me about privacy, because I tend to talk too long about it," he said. "When we live in an environment where we're constantly being monitored, we cherish the right just to talk to someone face-to-face." Harvey, a New York web designer, started a project called CV Dazzle when he was getting his master's degree at New York University in 2010. His objective: to show people how to hide in plain sight. If you look at the images he generated, you'll get a sense of what he has in mind. Face-recognition software looks for key points on one's face, such as eyes, nose, and mouth, and where they meet and the distance between them. So he suggests simple ways to block them. A spike of hair proved to be effective if it covered the area where the eyes, forehead and nose come together. Computer-vision software often looks for that spot, said Harvey, and will not detect a face without it. Similarly, he said, a bit of face paint ...
Tuesday, 29 January 2013
Facial Recognition: Beating Surveillance Cameras, Big Brother is Watching You
Facial Recognition: Beating Surveillance Cameras, Big Brother is Watching You Tube. Duration : 3.65 Mins.
Big Brother is watching you, though probably not in the ways most of us would imagine. Sure, the cameras at banks or airport checkpoints may be on the lookout for robbers or would-be terrorists, using facial recognition technology to match pictures to existing ones. But private enterprise is busy as well. If you tag a picture of yourself on Facebook or Google's Picasa, that image can be used to identify you in other pictures. Adam Harvey says the technology is intruding on your right to privacy, and he's figured out some low-tech ways to outsmart them. "Don't ask me about privacy, because I tend to talk too long about it," he said. "When we live in an environment where we're constantly being monitored, we cherish the right just to talk to someone face-to-face." Harvey, a New York web designer, started a project called CV Dazzle when he was getting his master's degree at New York University in 2010. His objective: to show people how to hide in plain sight. If you look at the images he generated, you'll get a sense of what he has in mind. Face-recognition software looks for key points on one's face, such as eyes, nose, and mouth, and where they meet and the distance between them. So he suggests simple ways to block them. A spike of hair proved to be effective if it covered the area where the eyes, forehead and nose come together. Computer-vision software often looks for that spot, said Harvey, and will not detect a face without it. Similarly, he said, a bit of face paint ...
Big Brother is watching you, though probably not in the ways most of us would imagine. Sure, the cameras at banks or airport checkpoints may be on the lookout for robbers or would-be terrorists, using facial recognition technology to match pictures to existing ones. But private enterprise is busy as well. If you tag a picture of yourself on Facebook or Google's Picasa, that image can be used to identify you in other pictures. Adam Harvey says the technology is intruding on your right to privacy, and he's figured out some low-tech ways to outsmart them. "Don't ask me about privacy, because I tend to talk too long about it," he said. "When we live in an environment where we're constantly being monitored, we cherish the right just to talk to someone face-to-face." Harvey, a New York web designer, started a project called CV Dazzle when he was getting his master's degree at New York University in 2010. His objective: to show people how to hide in plain sight. If you look at the images he generated, you'll get a sense of what he has in mind. Face-recognition software looks for key points on one's face, such as eyes, nose, and mouth, and where they meet and the distance between them. So he suggests simple ways to block them. A spike of hair proved to be effective if it covered the area where the eyes, forehead and nose come together. Computer-vision software often looks for that spot, said Harvey, and will not detect a face without it. Similarly, he said, a bit of face paint ...
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