Automatic Counting of Pedestrians and Cyclists

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University:Carnegie Mellon University
Principal Investigator:Bernardo Pires
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Funding Source(s) and Amounts Provided (by each agency or organization): $99,463.00
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Project Status:Complete
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Abstract:The goal of this project is to provide actionable data for government officials and advocates that promote bicycling and walking. Although the health and environmental benefits of a non-automobile commute are well known, it is still difficult to understand how to get more people to take up active transportation. Infrastructure can have a dramatic effect on cycling and waling adoption, but represents a significant outlay of government resources. Thus, concrete usage statistics are paramount for assessing and optimizing such spending. This project will create a vision-based cyclist and pedestrian counting system that will allow for automatic and human-assisted data collection and analysis. Unlike traditional non-vision counting methods, our system has the potential for much higher accuracy while providing valuable usage and demographic data that simply cannot be collected by other sensors.
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