Graffiti Detection Using a Time-Of-Flight Camera

  • Authors:
  • Federico Tombari;Luigi Stefano;Stefano Mattoccia;Andrea Zanetti

  • Affiliations:
  • Department of Electronics Computer Science and Systems (DEIS), University of Bologna, Bologna, Italy 40136 and Advanced Research Center on Electronic Systems (ARCES), University of Bologna, Bologn ...;Department of Electronics Computer Science and Systems (DEIS), University of Bologna, Bologna, Italy 40136 and Advanced Research Center on Electronic Systems (ARCES), University of Bologna, Bologn ...;Department of Electronics Computer Science and Systems (DEIS), University of Bologna, Bologna, Italy 40136 and Advanced Research Center on Electronic Systems (ARCES), University of Bologna, Bologn ...;Department of Electronics Computer Science and Systems (DEIS), University of Bologna, Bologna, Italy 40136 and Advanced Research Center on Electronic Systems (ARCES), University of Bologna, Bologn ...

  • Venue:
  • ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
  • Year:
  • 2008

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Abstract

Time-of-Flight (TOF) cameras relate to a very recent and growing technology which has already proved to be useful for computer vision tasks. In this paper we investigate on the use of a TOF camera to perform video-based graffiti detection, which can be thought of as a monitoring system able to detect acts of vandalism such as dirtying, etching and defacing walls and objects surfaces. Experimental results show promising capabilities of the proposed approach, with improvements expected as the technology gets more mature.