CTS E-News: Using computer vision to count pedestrians and cyclists
Video Detection
Researchers in the Department of Computer Science and Engineering (CS&E) are continuing their work on a vision-based system for counting pedestrians and bicyclists. The system uses machine learning principles and complex algorithms to process video data and classify objects in the scene . . . → Read More: Improving Bike & Ped Counts using Video
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