This article presents a knowledge-based application to study and analyze traffic behavior on major roads, using as the main surveillance artefact a video camera mounted on a relatively high place with a significant image analysis field. The system described presents something new which is the combination of both traditional traffic monitoring systems, that is, monitoring to get information on different traffic parameters and monitoring to detect accidents automatically. Therefore, we present a system in charge of compiling information on different traffic parameters. It also has a surveillance module, which can detect a wide range of the most significant incidents on a freeway or highway. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Fernández-Caballero, A., Gómez, F. J., & López-López, J. (2007). Knowledge-based road traffic monitoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4528 LNCS, pp. 182–191). Springer Verlag. https://doi.org/10.1007/978-3-540-73055-2_20
Mendeley helps you to discover research relevant for your work.