Automatic Counting of Pedestrians and Cyclists.
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2016
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Abstract:On September 2014, U.S. Secretary of Transportation Anthony Foxx
unveiled a new Transportation Action Plan [1] to increase active, no-motorized
transportation. On it, the Department of Transportation reinforced its commitment
to “making safe walking and biking a reality.” 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. The goal of
this project is to provide actionable data for government officials and advocates
that promote bicycling and walking. The project created a vision-based cyclist and
pedestrian counting system that 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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