Using Mutual Information for Multi-Anchor Tracking of Human Beings

  • Silvio Barra
  • Maria De MarsicoEmail author
  • Virginio Cantoni
  • Daniel Riccio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8897)


Tracking of human beings represents a hot research topic in the field of video analysis. It is attracting an increasing attention among researchers thanks to its possible application in many challenging tasks. Among these, action recognition, human/human and human/computer interaction require body-part tracking. Most of the existing techniques in literature are model-based approaches, so despite their effectiveness, they are often unfit for the specific requirements of a body-part tracker. In this case it is very hard if not impossible to define a formal model of the target. This paper proposes a multi-anchor tracking system, which works on 8 bits color images and exploits the mutual information to track human body parts (head, hands, …) without performing any foreground/background segmentation. The proposed method has been designed as a component of a more general system aimed at human interaction analysis. It has been tested on a wide set of color video sequences and the very promising results show its high potential.


Mutual Information Augmented Reality Interest Point Video Summarization Anchor Position 
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 International Publishing Switzerland 2014

Authors and Affiliations

  • Silvio Barra
    • 1
  • Maria De Marsico
    • 2
    Email author
  • Virginio Cantoni
    • 3
  • Daniel Riccio
    • 4
  1. 1.Università di CagliariCagliariItaly
  2. 2.Sapienza Università di RomaRomaItaly
  3. 3.Università di PaviaPaviaItaly
  4. 4.Università di Napoli Federico IINapoliItaly

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