Building detection in augmented reality based navigation system

Kisung Lee, Yongkwon Kim, Seong Ik Cho, Kyungho Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


In this paper, we propose a building detection algorithm for video based navigation system which overlays driving directions on the captured video from in-vehicle camera. We used edge segments of small size blocks within an image frame to remove background objects, trees, etc. Search range determination and edge tracing technique were also developed to determine the building area as the final step. The experiments show 88.9 % detection rate on the average and 95.9% for navigation video without trees and signs. The proposed algorithm can be also applied to point-of-interest (POI) detection for location based services (LBS) in ubiquitous computing environment.

Original languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 13th International Multimedia Modeling Conference, MMM 2007, Proceedings
Number of pages8
EditionPART 2
Publication statusPublished - 2007
Externally publishedYes
Event13th International Multimedia Modeling Conference, MMM 2007 - Singapore, Singapore
Duration: 2007 Jan 92007 Jan 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4352 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th International Multimedia Modeling Conference, MMM 2007


  • Augmented reality
  • Building detection
  • Building recognition
  • Navigation
  • Telematics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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