Building recognition for augmented reality based navigation system

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

doi:10.1109/CIT.2006.58

Building recognition for augmented reality based navigation system

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

In this paper, we propose a building recognition algorithm for the next generation navigation system which is to use captured video from the camera equipped in moving vehicle. After masking out the road area and vehicles on the road, 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 promising results such as 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 various telematics applications.

Original language	English
Title of host publication	Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006
Publisher	IEEE Computer Society
Pages	131-136
Number of pages	6
ISBN (Print)	076952687X, 9780769526874
DOIs	https://doi.org/10.1109/CIT.2006.58
Publication status	Published - 2006
Externally published	Yes
Event	6th IEEE International Conference on Computer and Information Technology, CIT 2006 - Seoul, Korea, Republic of Duration: 2006 Sep 20 → 2006 Sep 22

Publication series

Name	Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006

Other

Other	6th IEEE International Conference on Computer and Information Technology, CIT 2006
Country	Korea, Republic of
City	Seoul
Period	06/9/20 → 06/9/22

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Software
Mathematics(all)

Access to Document

10.1109/CIT.2006.58

Fingerprint Dive into the research topics of 'Building recognition for augmented reality based navigation system'. Together they form a unique fingerprint.

Cite this

Kim, Y., Lee, K., Choi, K., & Cho, S. I. (2006). Building recognition for augmented reality based navigation system. In Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006 (pp. 131-136). [4019932] (Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006). IEEE Computer Society. https://doi.org/10.1109/CIT.2006.58

Building recognition for augmented reality based navigation system. / Kim, Yongkwon; Lee, Kisung; Choi, Kyungho; Cho, Seong Ik.

Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006. IEEE Computer Society, 2006. p. 131-136 4019932 (Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, Y, Lee, K, Choi, K & Cho, SI 2006, Building recognition for augmented reality based navigation system. in Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006., 4019932, Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006, IEEE Computer Society, pp. 131-136, 6th IEEE International Conference on Computer and Information Technology, CIT 2006, Seoul, Korea, Republic of, 06/9/20. https://doi.org/10.1109/CIT.2006.58

Kim Y, Lee K, Choi K, Cho SI. Building recognition for augmented reality based navigation system. In Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006. IEEE Computer Society. 2006. p. 131-136. 4019932. (Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006). https://doi.org/10.1109/CIT.2006.58

Kim, Yongkwon ; Lee, Kisung ; Choi, Kyungho ; Cho, Seong Ik. / Building recognition for augmented reality based navigation system. Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006. IEEE Computer Society, 2006. pp. 131-136 (Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006).

@inproceedings{8bacbfa436584eec94e6f2b56a44ece3,

title = "Building recognition for augmented reality based navigation system",

abstract = "In this paper, we propose a building recognition algorithm for the next generation navigation system which is to use captured video from the camera equipped in moving vehicle. After masking out the road area and vehicles on the road, 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 promising results such as 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 various telematics applications.",

author = "Yongkwon Kim and Kisung Lee and Kyungho Choi and Cho, {Seong Ik}",

year = "2006",

doi = "10.1109/CIT.2006.58",

language = "English",

isbn = "076952687X",

series = "Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006",

publisher = "IEEE Computer Society",

pages = "131--136",

booktitle = "Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006",

note = "6th IEEE International Conference on Computer and Information Technology, CIT 2006 ; Conference date: 20-09-2006 Through 22-09-2006",

}

TY - GEN

T1 - Building recognition for augmented reality based navigation system

AU - Kim, Yongkwon

AU - Lee, Kisung

AU - Choi, Kyungho

AU - Cho, Seong Ik

PY - 2006

Y1 - 2006

N2 - In this paper, we propose a building recognition algorithm for the next generation navigation system which is to use captured video from the camera equipped in moving vehicle. After masking out the road area and vehicles on the road, 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 promising results such as 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 various telematics applications.

AB - In this paper, we propose a building recognition algorithm for the next generation navigation system which is to use captured video from the camera equipped in moving vehicle. After masking out the road area and vehicles on the road, 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 promising results such as 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 various telematics applications.

UR - http://www.scopus.com/inward/record.url?scp=34547343648&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547343648&partnerID=8YFLogxK

U2 - 10.1109/CIT.2006.58

DO - 10.1109/CIT.2006.58

M3 - Conference contribution

AN - SCOPUS:34547343648

SN - 076952687X

SN - 9780769526874

T3 - Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006

SP - 131

EP - 136

BT - Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006

PB - IEEE Computer Society

T2 - 6th IEEE International Conference on Computer and Information Technology, CIT 2006

Y2 - 20 September 2006 through 22 September 2006

ER -