Monitoring crowded traffic scenes

Benjamin Maurin, Osama Masoud, Nikolaos P Papanikolopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations


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 characterizes 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 Is 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.

Original languageEnglish (US)
Title of host publicationIEEE 5th International Conference on Intelligent Transportation Systems, ITSC 2002 - Proceedings
EditorsDer-Horng Lee, Dipti Srinivasan, Ruey Long Cheu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)0780373898
StatePublished - Jan 1 2002
Event5th IEEE International Conference on Intelligent Transportation Systems, ITSC 2002 - Singapore, Singapore
Duration: Sep 3 2002Sep 6 2002

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC


Other5th IEEE International Conference on Intelligent Transportation Systems, ITSC 2002


  • Crowd detection
  • Tracking


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