Automatic Counting of Pedestrians and Cyclists.

摘要

On September 2014, U.S. Secretary of Transportation Anthony Foxx unveiled a new Transportation Action Plan 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.