Traffic monitoring : slow isolated vehicle detection using image processing.

Author(s)
Bouzar, S. Blosseville, J.-M. Lenoir, F. & Glachet, R.
Year
Abstract

Use of video sensors to detect motorway incidents is now widely accepted by managers of road networks. The aim of this paper is to describe part of an automatic incident detection method using image processing. The algorithm that we present is an extension of research undertaken by INRETS in the past five years. After previous work on stopped-vehicle detection on the motorway, a new type incident detection has been developed: slow isolated vehicles. This research is carried out in cooperation with Union of Toll Motorways companies (Union des Sociétés d'Autoroute à Péage) and under ISIS supervision. This function is integrated in the Tristar-AID system which is now fully operational and exploited by two French motorway operators, AREA and ESCOTA (Lyon and Nice). (Author/publisher)

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Publication

Library number
971132 ST [electronic version only]
Source

In: Proceedings of the first international conference and exhibition on advanced measurement techniques and sensory systems for automotive applications `accuracy and reliability', Ancona, June 29-30, 1995, 6 p., 4 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.