Decision Level Multiple Cameras Fusion Using Dezert-Smarandache Theory

  • Esteban Garcia
  • Leopoldo Altamirano
Conference paper

DOI: 10.1007/978-3-540-74272-2_15

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)
Cite this paper as:
Garcia E., Altamirano L. (2007) Decision Level Multiple Cameras Fusion Using Dezert-Smarandache Theory. In: Kropatsch W.G., Kampel M., Hanbury A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg

Abstract

This paper presents a model for multiple cameras fusion, which is based on Dezert-Smarandache theory of evidence. We have developed a fusion model which works at the decision fusion level to track objects on a ground plane using geographically distributed cameras. As we are fusing at decision level, track is done based on predefined zones. We present early results of our model tested on CGI animated simulations, applying a perspective-based basic belief assignment function. Our experiments suggest that the proposed technique yields a good improvement in tracking accuracy when spatial regions are used to track.

Keywords

Multiple Cameras Fusion Tracking Dezert-Smarandache Theory Decision Level Fusion 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Esteban Garcia
    • 1
  • Leopoldo Altamirano
    • 1
  1. 1.National Institute of Astrophysics, Optics and Electronics, Luis Enrique Erro No. 1.Tonantzintla, PuebaMexico

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