A Real-Time Scene Understanding System for Airport Apron Monitoring

  • Authors:
  • David Thirde;Mark Borg;James Ferryman;Florent Fusier;Valery Valentin;Francois Bremond;Monique Thonnat

  • Affiliations:
  • The University of Readin, UK;The University of Readin, UK;The University of Readin, UK;ORION Team - INRIA, France;ORION Team - INRIA, France;ORION Team - INRIA, France;ORION Team - INRIA, France

  • Venue:
  • ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
  • Year:
  • 2006

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Abstract

This paper presents a distributed multi-camera visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules Scene Tracking and Scene Understanding. The Scene Tracking module is responsible for detecting, tracking and classifying the objects on the apron. The Scene Understanding module performs high level interpretation of the apron activities by applying cognitive spatio-temporal reasoning. The performance of the complete system is demonstrated for a range of representative test scenarios.