Consistent labeling for multi-camera object tracking

  • Authors:
  • Simone Calderara;Andrea Prati;Roberto Vezzani;Rita Cucchiara

  • Affiliations:
  • Dipartimento di Ingegneria dell'Informazione, University of Modena and Reggio Emilia, Modena, Italy;Dipartimento di Scienze e Metodi dell'Ingegneria, University of Modena and Reggio Emilia, Reggio Emilia, Italy;Dipartimento di Ingegneria dell'Informazione, University of Modena and Reggio Emilia, Modena, Italy;Dipartimento di Ingegneria dell'Informazione, University of Modena and Reggio Emilia, Modena, Italy

  • Venue:
  • ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
  • Year:
  • 2005

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Abstract

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.