Video cameras are used to keep an eye on many indoor and outdoor locations, but to pinpoint suspicious activity, human security guards or intelligence analysts have the unenviable task of watching dozens of video monitors or many hours of recorded video.
Supported by an NSF award, Jezekiel Ben-Arie and his students at the University of Illinois at Chicago have developed a technique, much faster and more reliable than previous methods, that allows a computer to recognize a human action contained in a video.
Ben-Arie envisions a system that will allow human analysts to search vast databases of digital video by animating the desired action with virtual "puppets" or by videotaping a person making the movements. Ben-Aries method makes it feasible to quickly find matching human motions within large amounts of video. This includes searches through databases of surveillance videos for suspicious activities, such as a person putting down an object and leaving.
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09.07.2020 | Association for Computing Machinery
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Kiel physics team observed extremely fast electronic changes in real time in a special material class
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Empa researchers have succeeded in applying aerogels to microelectronics: Aerogels based on cellulose nanofibers can effectively shield electromagnetic radiation over a wide frequency range – and they are unrivalled in terms of weight.
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A promising operating mode for the plasma of a future power plant has been developed at the ASDEX Upgrade fusion device at Max Planck Institute for Plasma...
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