Consistent Labeling for Multi-camera Object Tracking

  • Simone Calderara
  • Andrea Prati
  • Roberto Vezzani
  • Rita Cucchiara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)


In this paper, we present a new approach to multi-camera object tracking based on the consistent labeling. An automatic and reliable procedure allows to obtain the homographic transformation between two overlapped views, without any manual calibration of the cameras. Object’s positions are matched by using the homography when the object is firstly detected in one of the two views. The approach has been tested also in the case of simultaneous transitions and in the case in which people are detected as a group during the transition. Promising results are reported over a real setup of overlapped cameras.


Ground Plane Support Point Multiple Camera Multiple People Simultaneous Transition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Simone Calderara
    • 1
  • Andrea Prati
    • 2
  • Roberto Vezzani
    • 1
  • Rita Cucchiara
    • 1
  1. 1.Dipartimento di Ingegneria dell’InformazioneUniversity of Modena and Reggio EmiliaModenaItaly
  2. 2.Dipartimento di Scienze e Metodi dell’IngegneriaUniversity of Modena and Reggio EmiliaReggio EmiliaItaly

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