Building detection in augmented reality based navigation system

Authors:
Kisung Lee;Yongkwon Kim;Seong Ik Cho;Kyungho Choi
Affiliations:
Department of Information & Communication Engineering, Kongju National University, South Korea;Department of Information & Communication Engineering, Kongju National University, South Korea;Electronics and Telecommunications Research Institute, South Korea;Department of Information Engineering, Mokpo National University, South Korea
Venue:
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Year:
2007

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Abstract

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.