Like an age-guesser at a carnival, computer software being developed at the University of Illinois can fairly accurately estimate a person’s age. But, unlike age-guessers, who can view a person’s body, the software works by examining only the person’s face.
“Age-estimation software is useful in applications where you don’t need to specifically identify someone, such as a government employee, but would like to know their age,” said Thomas S. Huang, the William L. Everitt Distinguished Professor of Electrical and Computer Engineering at the U. of I.
For example, age-recognition algorithms could stop underage drinkers from entering bars, prevent minors from purchasing tobacco products from vending machines, and deny children access to adult Web sites, said Huang, who leads the Image Formation and Processing group at the university’s Beckman Institute.
Estimating someone’s age is not an easy task, even for a computer. That’s partly because the aging process is determined not only by a person’s genetic makeup, but by many other factors as well, including health, location and living conditions.
“Human faces do convey a significant amount of information, however, and provide important visual cues for estimating age,” Huang said. “Facial attributes, such as expression, gender and ethnic origin, play a crucial role in our image analysis.”
Consisting of three modules – face detection, discriminative manifold learning, and multiple linear regression – the researchers’ age-estimation software was trained on a database containing photos of 1,600 faces.
The software can estimate ages from 1 year to 93 years. The software’s accuracy ranges from about 50 percent when estimating ages to within 5 years, to more than 80 percent when estimating ages to within 10 years. The accuracy can be improved by additional training on larger databases of faces, Huang said.
In addition to performing tasks such as security control and surveillance monitoring, age-estimation software also could be used for electronic customer relationship management.
For example, a camera snapping photos of customers could collect demographic data – such as how many adult men and women buy burgers, or what percentage of teenagers purchase a particular soft drink.
Or, combined with algorithms that identify a person’s sex, age-estimation software could help target specific audiences for specific advertisements. For example, a store display might advertise a new automobile or boat as a man walks by, or new clothing or cosmetics as a woman walks by.
“All of this can be done without violating anyone’s privacy,” Huang said. “Our software does not identify specific individuals. It just estimates their ages.”
Huang is affiliated with the university’s Center for Advanced Study, Coordinated Science Laboratory, Information Trust Institute, and department of computer science.
Funding was provided by the National Science Foundation and the Intelligence Advanced Research Projects Activity. The researchers published their findings in the two journals IEEE Transactions on Multimedia and IEEE Transactions on Image Processing in 2008.
Editor’s note: To reach Thomas Huang, call 217-244-1638; e-mail: firstname.lastname@example.org
Accelerating quantum technologies with materials processing at the atomic scale
15.05.2019 | University of Oxford
A step towards probabilistic computing
15.05.2019 | University of Konstanz
Engineers at the University of Tokyo continually pioneer new ways to improve battery technology. Professor Atsuo Yamada and his team recently developed a...
With a quantum coprocessor in the cloud, physicists from Innsbruck, Austria, open the door to the simulation of previously unsolvable problems in chemistry, materials research or high-energy physics. The research groups led by Rainer Blatt and Peter Zoller report in the journal Nature how they simulated particle physics phenomena on 20 quantum bits and how the quantum simulator self-verified the result for the first time.
Many scientists are currently working on investigating how quantum advantage can be exploited on hardware already available today. Three years ago, physicists...
'Quantum technologies' utilise the unique phenomena of quantum superposition and entanglement to encode and process information, with potentially profound benefits to a wide range of information technologies from communications to sensing and computing.
However a major challenge in developing these technologies is that the quantum phenomena are very fragile, and only a handful of physical systems have been...
Working group led by physicist Professor Ulrich Nowak at the University of Konstanz, in collaboration with a team of physicists from Johannes Gutenberg University Mainz, demonstrates how skyrmions can be used for the computer concepts of the future
When it comes to performing a calculation destined to arrive at an exact result, humans are hopelessly inferior to the computer. In other areas, humans are...
Scientists develop a molecular recording tool that enables in vivo lineage tracing of embryonic cells
The beginning of new life starts with a fascinating process: A single cell gives rise to progenitor cells that eventually differentiate into the three germ...
29.04.2019 | Event News
17.04.2019 | Event News
15.04.2019 | Event News
22.05.2019 | Life Sciences
22.05.2019 | Life Sciences
22.05.2019 | Physics and Astronomy