"What exactly is computer vision then? Computer vision is a research field working to equip computers with the ability to process and understand visual data, as sighted humans can. Human brains process the gigabytes of data passing through our eyes every second and translate that data into sight - that is, into discrete objects and entities we can recognise or understand. Similarly, computer vision aims to give computers the ability to understand what they are seeing, and act intelligently on that knowledge."
– Computer vision: Cheat Sheet. ZDNet.com (December 6, 2011), by Natasha Lomas.
Here the human intelligence in charge is telling the AI model to have a look at these sections of the image. At this stage, only the human knows what is in the selected spots --sheep on a background in full shadow, sheep on the grass, and sheep on the bare ground. Defining areas where you know there are not examples of your object of interest helps the algorithm by enabling it to understand what you are NOT looking for looks like. The AI model will use these sections of your image as counterexamples. It is particularly helpful to draw the attention of the algorithm to areas where you have objects that look similar to your object of interest, but which are not that for which you are looking.
In a March 21 Slatest, Mark Joseph Stern misstated that the April 2019 Wisconsin Supreme Court election could give Democratic justices a majority. That opportunity will not arise until the 2020 election. Due to an editing error, a March 20 Future Tense Newsletter incorrectly stated that the National Institute of Standards and Technology has been using nonconsensually obtained images to train its Facial Recognition Verification Testing program. The NIST does not develop or train facial recognition systems. It provides independent government evaluations of prototype face recognition technologies.
Walking around without being constantly identified by AI could soon be a thing of the past, legal experts have warned. The use of facial recognition software could signal the end of civil liberties if the law doesn't change as quickly as advancements in technology, they say. Software already being trialled around the world could soon be adopted by companies and governments to constantly track you wherever you go. Shop owners are already using facial recognition to track shoplifters and could soon be sharing information across a broad network of databases, potentially globally. Previous research has found that the technology isn't always accurate, mistakenly identifying women and individuals with darker shades of skin as the wrong people.
Bears can exactly mimic another bear's facial expressions, casting doubt on humans and other primates being the only mammals able to express their emotions. Sun bears have been observed opening their mouths to match their playmates when they are interacting face-to-face. Researchers claim that such facial mimicry has not been seen in primates outside humans and gorillas. Dogs can also use mimic each other to reinforce bonds. In the behavioural study, they found that bears can use facial expressions to communicate with others in a similar way to humans and apes.
The co-founder of MoviePass has developed a new idea to get people to the theater. Called PreShow, users would be able to earn free movie tickets if they agree to watch advertisements for blocks of time between 15 and 20 minutes. There's also another, creepier, twist to the proposed app: It will only unlock with facial recognition and it also tracks your gaze using facial recognition technology to make sure you're actually watching the ads, according to CNET. A MoviePass co-founder has developed a new idea to get people to the theater. PreShow is being developed by MoviePass co-founder Stacy Spikes, who stepped down as CEO of the beleaguered ticketing company in 2016.
Our brains are incredibly good at processing faces, and even have specific regions specialized for this function. But what face dimensions are we observing? Do we observe general properties first, then look at the details? Or are dimensions such as gender or other identity details decoded interdependently? In a study published in Nature Communications, neuroscientists at the McGovern Institute for Brain Research measured the response of the brain to faces in real-time, and found that the brain first decodes properties such as gender and age before drilling down to the specific identity of the face itself.
So you've experimented with an indoor security camera and want to extend surveillance to the outside of your home. The Swann Outdoor Security Camera is a fairly low-risk entry point. This weather-protected camera offers full HD video (1080p), motion detection, and smart-home integration for $99 (street price). While it lacks the sophisticated features of cameras like the Nest Cam IQ Outdoor and Arlo Pro 2, its modest price and short learning curve make it ideal for first-time users. The bullet-style camera measures 2.36 x 7.3 x 3.15 inches and weighs one pound.
The world's smallest bears copy one another's facial expressions as a means of communication. A team at the University of Portsmouth, UK, studied 22 sun bears at the Bornean Sun Bear Conservation Centre in Malaysia. In total, 21 matched the open-mouthed expressions of their playmates during face-to-face interactions. When they were facing each other, 13 bears made the expressions within 1 second of observing a similar expression from their playmate. "Mimicking the facial expressions of others in exact ways is one of the pillars of human communication," says Marina Davila-Ross, who was part of the team.
Kaia Health caught our attention last year with an app that tracks your motion using your phone's camera in a bid to help you achieve perfect squat form, though we found it didn't quite hit the mark. Still, Kaia is elevating the concept with an updated version called Kaia Personal Trainer. It says the app will track your exercises and reps, create workout plans tailored to you and offer audio feedback in real time. It doesn't need any equipment other than an iPhone or iPad running iOS 12 (an Android version will arrive in the next few months), though you might still opt to use a fitness tracker. Once you get into position around seven feet away from your device, the app's AI uses a 16-point system to compare the way you move to optimal movement, looking at factors including the positions and angles of your limbs and joints.
A unit of the U.S. Department of Commerce has been using photos of immigrants, abused children and dead people to train their facial recognition systems, a worrying new report has detailed. The National Institute of Standards and Technology (NIST) oversees a database, called the Facial Recognition Verification Testing program, that'depends' on these types of controversial images, according to Slate. Scientists from Dartmouth College, the University of Washington and Arizona State University discovered the practice and laid out their findings in new research set to be reviewed for publication later this year. A unit of the U.S. Department of Commerce has been using photos of immigrants, abused children and dead people to train their facial recognition systems, a new report has detailed. The Facial Recognition Verification Testing program was first established in 2017 as a way for companies, academic researchers and designers to evaluate their facial recognition technologies.