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Nicolas Saunier edited Methodology Video Data.tex
almost 10 years ago
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\begin{itemize}
\item \textbf{Parallax error} is mitigated by maximising the subtending angle between the camera and the height of tracked objects. In practical terms this requires a high view or ideally a bird's eye view, tracking objects with a small height to base ratio. Passenger cars are generally more forgiving in this respect than trucks or pedestrians.
\item \textbf{Pixel resolution} determines measurement precision. Objects further away from the camera experience lower tracking precision than objects near the camera. Error due to pixel resolution is mitigated by placing study areas nearer to the camera and using high-resolution cameras, although increases in resolution offer diminishing returns of tracking distance.
\item Finally, \textbf{tracking errors} may occur
with due to scene visibility issues or
due to limits with current computer vision
techniques. techniques, in particular to handle data association (e.g.\ attach the trajectories to the right objects when they occlude each other). These erroneous observations have to be rejected or reviewed manually.
\end{itemize}
Depending on the steps taken to minimize tracking errors, feature-based tracking functions best over study areas of 50-100~m in length with high-to-medium speed, low-to-medium density flows.