On Reasoning over Tracking Events

  • Daniel Rowe
  • Jordi Gonzàlez
  • Ivan Huerta
  • Juan J. Villanueva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4522)


High-level understanding of motion events is a critical task in any system which aims to analyse dynamic human-populated scenes. However, current tracking techniques still do not address complex interaction events among multiple targets. In this paper, a principled event-management framework is proposed, and it is included in a hierarchical and modular tracking architecture. Multiple-target interaction events, and a proper scheme for tracker instantiation and removal according to scene events, are considered. Multiple-target group management allows the system to switch among different operation modes. Robust and accurate tracking results have been obtained in both indoor and outdoor scenarios, without considering a-priori knowledge about either the scene or the targets based on a previous training period.


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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Daniel Rowe
    • 1
  • Jordi Gonzàlez
    • 2
  • Ivan Huerta
    • 1
  • Juan J. Villanueva
    • 1
  1. 1.Computer Vision Centre / Computer Science Department, UAB, BarcelonaSpain
  2. 2.Institut de Robòticai Informàtica Industrial, UPC, BarcelonaSpain

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