Abstract
This paper introduces a new approach of an electronic cane for navigation through the environment, using only vision system to help the blind people. By computing weights between already stored images and the real scene of the environment. The system gives advices for the blind person to select the right direction. This advice depends on a weighted topological map in the form of an appearance graph. Navigation on this graph involves Importance value from one node to other until the goal node is reached. Where a mono camera cane-held gives information in front of the blind person. The system will give a wide range indoor navigation and may be used to outdoor navigation. The identification of different scenes to the blind person has done with in a session. These sessions divide the image database into parts like bedroom, corridor,....etc. The proposed scheme employs SIFT features to represent scene containing many objects in the environment.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 |
| Pages | 68-72 |
| Number of pages | 5 |
| Volume | 1 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 - Selangor Duration: 5 Aug 2009 → 7 Aug 2009 |
Other
| Other | 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 |
|---|---|
| City | Selangor |
| Period | 5/8/09 → 7/8/09 |
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Keywords
- Items descriptor
- Object recognition
- Session
- SIFT
- Weight visual graph
ASJC Scopus subject areas
- Information Systems
- Software
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
Cite this
Indoor navigation to support the blind personUsing weighted topological map. / Ali, Abbas M.; Nordin, Md. Jan.
Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1 2009. p. 68-72 5254813.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Indoor navigation to support the blind personUsing weighted topological map
AU - Ali, Abbas M.
AU - Nordin, Md. Jan
PY - 2009
Y1 - 2009
N2 - This paper introduces a new approach of an electronic cane for navigation through the environment, using only vision system to help the blind people. By computing weights between already stored images and the real scene of the environment. The system gives advices for the blind person to select the right direction. This advice depends on a weighted topological map in the form of an appearance graph. Navigation on this graph involves Importance value from one node to other until the goal node is reached. Where a mono camera cane-held gives information in front of the blind person. The system will give a wide range indoor navigation and may be used to outdoor navigation. The identification of different scenes to the blind person has done with in a session. These sessions divide the image database into parts like bedroom, corridor,....etc. The proposed scheme employs SIFT features to represent scene containing many objects in the environment.
AB - This paper introduces a new approach of an electronic cane for navigation through the environment, using only vision system to help the blind people. By computing weights between already stored images and the real scene of the environment. The system gives advices for the blind person to select the right direction. This advice depends on a weighted topological map in the form of an appearance graph. Navigation on this graph involves Importance value from one node to other until the goal node is reached. Where a mono camera cane-held gives information in front of the blind person. The system will give a wide range indoor navigation and may be used to outdoor navigation. The identification of different scenes to the blind person has done with in a session. These sessions divide the image database into parts like bedroom, corridor,....etc. The proposed scheme employs SIFT features to represent scene containing many objects in the environment.
KW - Items descriptor
KW - Object recognition
KW - Session
KW - SIFT
KW - Weight visual graph
UR - http://www.scopus.com/inward/record.url?scp=70449625470&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449625470&partnerID=8YFLogxK
U2 - 10.1109/ICEEI.2009.5254813
DO - 10.1109/ICEEI.2009.5254813
M3 - Conference contribution
SN - 9781424449132
VL - 1
SP - 68
EP - 72
BT - Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009
ER -