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Paul St-Aubin edited Methodology Tools & Techniques.tex
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Two cameras were tested. The first was a Vivotek IP security camera with a narrow lens filming at 15 frames per second at a resolution of 800*600, while the second camera was a GoPro 2 with a wide-angle lens filming at 30 frames per second at a resolution of 1280*960. Both cameras encoded video in H.264, although the GoPro used a significantly larger bitrate. The consumer-grade GoPro provides higher-quality videos, however, these gains for feature tracking ar minimal while the video files are much larger and more difficult to handle and process.
\subsubsection{Software}
\label{software}
The software used is the open-source Traffic Intelligence project \cite{Saunier_2010}, itself based on the computer vision platform openCV \cite{Brahmbhatt_2013}. This software provides the basic feature-tracking, trajectory management and coordinate projection \cite{Ismail_2013} functionality as well a few usage-specific tools such as correction for lens distortion (depicted in Figure~\ref{fig:cg-undistort}), trajectory clustering, and basic motion prediction functions. Some of the more advanced analysis tools and techniques presented in this paper are under development and will be made available as their functionality is completed and validated.