TU Darmstadt / ULB / TUbiblio

VESUV - a Computer Vision System for Integrated Traffic Analysis

Busch, Christoph and Dörner, Ralf and Freytag, Christian and Ziegler, Heike (1998):
VESUV - a Computer Vision System for Integrated Traffic Analysis.
In: Proceedings of the International Conference on Image Science, Systems and Technology (CISST 1998), pp. 310-316, [Conference or Workshop Item]

Abstract

This paper describes the Computer Vision System VESUV as a video-based system for traffic analysis and control. Using standard video hardware the presented approach enables the rplacement of traditional traffic sensors such as inductive loops or radar sensors which deliver traffic data in terms of numbers, classification and velocity of passing vehicles or environmental conditions. VESUV focuses on the functional integration of all the formaer types of sensors into one: the camera. Furthermore, VESUV provides additional features for route tracing which is realized by connecting locally acquired data at central traffic control stations. VESUV was successfully tested in a field trial on a German highway. Existing conventional traffic analysis systems provided the reference data. The promising results demonstrate that online object tracing can be realized with a minimal amount of error. As the first of its kind, the introduced system provides route-tracing information for traffic control systems.

Item Type: Conference or Workshop Item
Erschienen: 1998
Creators: Busch, Christoph and Dörner, Ralf and Freytag, Christian and Ziegler, Heike
Title: VESUV - a Computer Vision System for Integrated Traffic Analysis
Language: English
Abstract:

This paper describes the Computer Vision System VESUV as a video-based system for traffic analysis and control. Using standard video hardware the presented approach enables the rplacement of traditional traffic sensors such as inductive loops or radar sensors which deliver traffic data in terms of numbers, classification and velocity of passing vehicles or environmental conditions. VESUV focuses on the functional integration of all the formaer types of sensors into one: the camera. Furthermore, VESUV provides additional features for route tracing which is realized by connecting locally acquired data at central traffic control stations. VESUV was successfully tested in a field trial on a German highway. Existing conventional traffic analysis systems provided the reference data. The promising results demonstrate that online object tracing can be realized with a minimal amount of error. As the first of its kind, the introduced system provides route-tracing information for traffic control systems.

Uncontrolled Keywords: Computer vision, Feature extraction, Integrated sensors, Kalman filters, Object tracking, Route tracing, Traffic analysis
Divisions: UNSPECIFIED
20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Proceedings of the International Conference on Image Science, Systems and Technology (CISST 1998)
Date Deposited: 16 Apr 2018 09:06
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)

View Item View Item