The Pulse of Allegheny County and Pittsburgh.
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2016-01-01
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Abstract:Cities are increasingly equipped with low-resolution cameras. They are cheap to
buy, install, and maintain, and thus are usually the choice of departments of
transportation and their contractors. Pittsburgh or New York City have networks of
hundreds of cameras. Video from some of these cameras is publicly accessible in
real time.
In this project, we addressed the problem of building a traffic model for parts of the
roads visible from publicly accessible cameras. In particular, our end goal is to
build a model capable of detecting different types of vehicles in images in various
weather conditions and times of the day except night. Models learn different
appearance of vehicles as seen from different viewpoints. A major difficulty with
any type of analysis like this is the need for large amounts of training data. In our
case, it is easy to collect unlabeled data from publicly available low-resolution
low-framerate cameras in Pittsburgh or NYC.
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