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 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| 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 |
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 |
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ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Software
- Mathematics(all)
Cite this
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. 2006. 4019932.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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 - 2006/12/1
Y1 - 2006/12/1
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
BT - Proceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006
ER -