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\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.  \subsubsection{Data Model}  \subsubsection{Processing}  Real-time analysis is not an explicit goal of this technology as its intended use is primarily for research. However, performance is a serious consideration if, for no other reason than to ensure that processing remains affordable and does not fall behind data collection. In any case, some calculations may require pre-processing of as much data as possible, particularly machine learning tasks such as is used in motion prediction (see section \ref{motion-prediction}).