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Multi Person Tracking Within Crowded Scenes

  • Andrew Gilbert
  • Richard Bowden
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4814)

Abstract

This paper presents a solution to the problem of tracking people within crowded scenes. The aim is to maintain individual object identity through a crowded scene which contains complex interactions and heavy occlusions of people. Our approach uses the strengths of two separate methods; a global object detector and a localised frame by frame tracker. A temporal relationship model of torso detections built during low activity period, is used to further disambiguate during periods of high activity. A single camera with no calibration and no environmental information is used. Results are compared to a standard tracking method and groundtruth. Two video sequences containing interactions, overlaps and occlusions between people are used to demonstrate our approach. The results show that our technique performs better that a standard tracking method and can cope with challenging occlusions and crowd interactions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Andrew Gilbert
    • 1
  • Richard Bowden
    • 1
  1. 1.University of Surrey, Guildford, Surrey, GU2 7XHUK

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