Fusion of radio and video localization for people tracking

  • Authors:
  • Massimiliano Dibitonto;Antonio Buonaiuto;Gian Luca Marcialis;Daniele Muntoni;Carlo Maria Medaglia;Fabio Roli

  • Affiliations:
  • Dept. of Electrical and Electronic Engineering, University of Cagliari, Italy;Dept. of Electrical and Electronic Engineering, University of Cagliari, Italy;Dept. of Electrical and Electronic Engineering, University of Cagliari, Italy;Ambient Intelligence Laboratory, Sardegna Ricerche, Pula, Italy;C.A.T.T.I.D. Sapienza University of Rome, Italy;Dept. of Electrical and Electronic Engineering, University of Cagliari, Italy

  • Venue:
  • AmI'11 Proceedings of the Second international conference on Ambient Intelligence
  • Year:
  • 2011

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Abstract

In this paper we introduce a hybrid people tracking system based on the combined use of RFID UWB technology and computer vision techniques. The proposed system takes advantage of the different characteristics of the vision and wireless subsystems to achieve better accuracy and reliability for people tracking. Moreover data gained from the subsystems can be used for a more complex context capture system and can be seen as an enabler of a number of application from video-surveillance to Ambient Intelligence scenarios. Different scenarios have been tested to assess the feasibility and performance of the system. Experimental results demonstrate advantages in people tracking tasks encouraging further researches.