"Computers have been getting better and better at seeing movement on video. How is it that they read lips, follow a dancing girl or copy an actor making faces?"
– from Andrew Blake. Introduction to Active Contours and Visual Dynamics. Visual Dynamics Group, Department of Engineering Science, University of Oxford
London: Oxford scientists have developed a new artificial intelligence system that can create fake videos of a person by using their still image and an audio clip. As the audio clip plays, the system then manipulates the mouth of the person in the still image so that it looks as if they are speaking. Although the results are not absolutely perfect, researchers believe that the software could soon make realistically fake videos only a single click away. Given enough time, experts can already create fake videos that are virtually indistinguishable from genuine ones.
'The launch of the world's first operational Robocop is a significant milestone for the Emirate and a step towards realising Dubai's vision to be a global leader in smart cities technology adoption', said Brigadier-General Khalid Nasser Al Razzouqi, Director-General of Smart Services for the police in Dubai. Brigadier Khalid Nasser Al Razouqi, general director of the smart services department at Dubai Police, added: 'We are looking to make everything smart in Dubai Police. Dubai Police, IBM's supercomputer, Watson, and Google have all contributed to the unique design of the robot police officer. Dubai Police, IBM's supercomputer, Watson, and Google have all contributed to the unique design of the robot police officer Real-life RoboCops will be patrolling the streets of Dubai alongside police from May.
A new system takes a still image of a person and an audio clip, and uses them to create a doctored video of the person speaking the audio. The results are still a little rough around the edges, but the software could soon make realistically fake videos only a single click away. At the moment, these systems focus on changing the shape of the mouth, but it's only a matter of time before they can also change facial expressions and posture, says Alex Champandard, co-founder of creative.ai, "Pretty soon we will have trouble distinguishing between real and fake video," says Champandard. Given enough time, experts can already create fake videos that are virtually indistinguishable from genuine ones.
She looks at Nessa and Blaise with an urgent intimacy that often bypasses facial expressions to isolate aspects of the body--including facial features, hand gestures, postures, or even tools and articles of clothing--that transmit emotions without declaring them. Sylvio works as a bill collector, making phone calls by way of a voice-generating computer on which he types, but he dreams of a career as a performer--as a puppeteer--and at home he performs with a bald-headed, mustachioed, middle-class-Everyman hand puppet and records his performances on video for his own pleasure. Where that older generation had the benefit of a shared sense of mission that was reflected in a shared sense of style, younger filmmakers following in their wake are venturing out alone and starting more tentatively--with short films--before hazarding a feature. The seeming family resemblance of the last decade's worth of innovative independent filmmaking--founded largely on improvisation based on situations close to the filmmakers' own and using performers they find in their own circles--is somewhat deceptive.
Right now, the US is trotting out an airport security plan revolving around facial recognition. However, Customs and Border Protection now wants to expand the effort to include virtually every situation where you normally need an ID -- and that could include scanning US citizens. The existing plan has facial recognition systems tossing out photos of US citizens as soon as they're recognized. Current facial recognition technology requires a clear, emotionless and well-lit view of your face, and you don't get all of those very often at the airport.
A recent case in point is Xiaolin Wu and Xi Zhang's paper, "Automated Inference on Criminality Using Face Images", submitted to arXiv (a popular online repository for physics and machine learning researchers) in November 2016. This is an example of the more general problem of image understanding: a computer program analyzes a photo, makes a determination about the photo, then emits some kind of meaningful judgement (say, "the person in this photo is likely between the ages of 18 and 23"). The most common approach is supervised learning, which involves working through a large number of labelled examples -- that is, example images paired with the desired output for each. Modern, sophisticated machine learning techniques like convolutional neural networks (CNNs) have many millions of parameters, hence need a great deal of training data to avoid overfitting.
The night of December 16, 1773, dozens of Massachusetts colonists quietly boarded three ships and dumped what would now be close to $1 million worth of British tea into Boston Harbor. It was a crime to dump British tea into Boston harbor. Historically, surveillance technology has tracked our technology: our cars, our computers, our phones. Face recognition technology tracks our bodies.
Despite new technologies that make face detection and recognition more sophisticated, long-recognized problems in security, privacy, and accuracy persist. Refining this technology and introducing it into new domains will require solving these problems through focused interdisciplinary efforts among developers, researchers, and policymakers. Zahid Akhtar, Ajita Rattani, "A Face in any Form: New Challenges and Opportunities for Face Recognition Technology", Computer, vol.
When you have a robot named Pudding, you know that you are in for a cute overload. Pudding was created by Roobo to be your child's best friend – it tells stories, plays music, teaches facts and vocabulary, and even reminds them to brush their teeth. Roobo also has a robotic dog named Dogmy that is a lot smarter than real dogs, but unfortunately not fluffy enough. Dogmy uses face recognition technology to warn if there is an intruder in the house and has a number of other intelligent features.