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RIT Team Is Developing Computer Vision Technology to Improve Aerial Tracking

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ROCHESTER, N.Y., Jan. 9, 2019 — Researchers at Rochester Institute of Technology (RIT) are developing a visual tracking system to more accurately locate and follow moving objects under surveillance. Using deep learning, the system could generate more reliable readings of moving objects, even if objects become obscured or change patterns or direction. Professor Andreas Savakis is heading the three-year, $250,000 project funded by the Department of the Air Force’s Materials Command/Systems and Technology. The RIT system is one of several interrelated projects that will use deep learning to refine the computing...Read full article

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