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Computer vision researcher develops privacy software for surveillance videos - EurekAlert


<p>Computer vision can be a valuable tool for anyone tasked with analyzing hours of footage because it can speed up the process of identifying individuals. For example, law enforcement may use it to perform a search for individuals with a simple query, such as &ldquo;Locate anyone wearing a red scarf over the past 48 hours.&rdquo;</p> <p>With video surveillance becoming more and more ubiquitous, Assistant Professor Yogesh Rawat, a researcher at the UCF Center for Research in Computer Vision (CRCV), is working to address privacy issues with advanced software installed on video cameras. His work is supported by $200,000 in funding from the U.S. National Science Foundation&rsquo;s Accelerating Research Translation (NSF ART) program.</p>

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