Image credit D. Küttel / ETH Zurich; via PhysOrg ETH researchers Daniel Küttel and Michael Breitenstein teamed up with professors Luc Van Gool and Vittorio Ferrari from the Institute of Image Processing to create a new software program that can learn from watching moving objects, analyzing things like street scenes and figuring out patterns and habits of things like moving vehicles. The new technology allows the computer to recognize things like the movements of normal traffic flow and any changes in that “normal” situation. It may have a big use in analyzing traffic a… Read the full story on TreeHugger
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Smart Computer That Learns from Videos Can Make Traffic More Efficient
