Real time detection and tracking of printed maps based on road structure

Sebastien Callier, Hideo Saito, Guillaume Moreau

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper presents a method to detect and track a paper map and overlay virtual data over it. First, we take a picture of the map and identify the road colors using our road area extraction method. Using the color information we can then extract in real time the roads from a video and use the position of the intersections to identify the map from a database without any further user input. The main issue is to get reliable intersection positions in real time even though the map can contain a lot of overlapping data. Finally, using the location of the intersections we can track and augment the map with virtual information. Our method enables the real time matching, 3D tracking and augmentation of a paper map based on a database that can contain several thousands of intersections coordinates.

Original languageEnglish
Pages (from-to)85-94
Number of pages10
JournalITE Transactions on Media Technology and Applications
Issue number1
Publication statusPublished - 2015


  • Augmented Reality
  • Image segmentation
  • Paper interaction
  • Raster map

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Graphics and Computer-Aided Design


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