Abstract
Vision-based safety analysis is a difficult task since traditional motion-based techniques work poorly when pedestrians and vehicles stop due to traffic signals. This work presents a tracking method in order to provide a robust tracking of pedestrians and vehicles, and quantify safety through investigating the tracks. Surrogate safety measurements are estimated including TTC and DTI values for a highly cluttered video of Las Vegas intersection and the performance of the tracking system is evaluated at detection and tracking steps separately.
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The authors acknowledge the Nevada Department of Transportation for their support of this research.
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© 2015 Springer International Publishing Switzerland
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Shirazi, M.S., Morris, B. (2015). Safety Quantification of Intersections Using Computer Vision Techniques. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_67
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DOI: https://doi.org/10.1007/978-3-319-27857-5_67
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