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Proceedings Paper

Multimedia traffic monitoring system
Author(s): Osamah A. Al-Sayegh; Ali Esmail Dashti
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Paper Abstract

Increasing congestion on roads and highways, and the problems associated with conventional traffic monitoring systems have generated an interest in new traffic surveillance systems, such as video image processing. These systems are expected to be more effective and more economical than conventional surveillance systems. In this paper, we describe the design of a traffic surveillance system, called Multimedia traffic Monitoring System. The system is based on a client/server model, with the following main modules: 1) video image capture module (VICM), 2) video image processing module (VIPM), and 3) database module (DBM). The VICM is used to capture the live feed from a digital camera. Depending on the mode of operation, VICM either: 1) sends the video images directly to the VIPM (on the same processing node), or 2) compresses the video images and sends them to the VIPM and/or the DBM on separate processing node(s). The main contribution of this paper is the design of a traffic monitoring system that uses image processing (VIPM) to estimate traffic flow. In the current implementation, VIPM estimates the number of vehicles per kilometer, while using 9 image sequences (at a rate of 4 frames per second). The VIPM algorithm generates a virtual grid and superimposes it on a part of the traffic scene. Motion and vehicle detection operators are carried out within each cell in the grid. Vehicle count is concluded based on the nine images of a sequence. The system is tested against a manual count of more than 40 image sequences (total of more than 365 traffic images) of various traffic situations. The results show that the system is able to determine the traffic flow with a precision of 1.5 vehicles per kilometer.

Paper Details

Date Published: 11 October 2000
PDF: 8 pages
Proc. SPIE 4210, Internet Multimedia Management Systems, (11 October 2000); doi: 10.1117/12.403828
Show Author Affiliations
Osamah A. Al-Sayegh, Kuwait Institute for Scientific Research (Kuwait)
Ali Esmail Dashti, Univ. of Kuwait (Kuwait)

Published in SPIE Proceedings Vol. 4210:
Internet Multimedia Management Systems
John R. Smith; Chinh Le; Sethuraman Panchanathan; C.-C. Jay Kuo, Editor(s)

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