NDLI: Monitoring crowded traffic scenes

Content Provider	IEEE Xplore Digital Library
Author	Maurin, B. Masoud, O. Papanikolopoulos, N.
Copyright Year	2002
Abstract	This paper deals with real-time image processing of crowded outdoor scenes with the objective of creating an effective traffic management system that monitors urban settings (urban intersections, streets after athletic events, etc.). The proposed system can detect, track, and monitor both pedestrians (crowds) and vehicles. We describe the characteristics of the tracker that is based on a new detection method. Initially, we produce a motion estimation map. This map is then segmented and analyzed in order to remove inherent noise and focus on particular regions. Moreover, tracking of these regions is obtained in two steps: fusion and measurement of the current position and velocity, and then estimation of the next position based on a simple model. The instability of tracking is addressed by a multiple-level approach to the problem. The computed data are then analyzed to produce motion statistics. Experimental results from various sites in the Twin Cities area are presented. The final step is to provide this information to an urban traffic management center that monitors crowds and vehicles in the streets.
Starting Page	19
Ending Page	24
File Size	626621
Page Count	6
File Format	PDF
ISBN	0780373898
DOI	10.1109/ITSC.2002.1041182
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Layout Real time systems Image processing Vehicle detection Motion estimation Current measurement Position measurement Velocity measurement Data analysis
Content Type	Text
Resource Type	Article

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