Abstract
Problem Statement: Image base methods are a new approach for solving problems of navigations for visually impaired people. Approach: The study introduced a new approach of an electronic cane for blind people using the environment represented as a weighted topological graph instead, each node contains images taken at some poses in the work space, instead of building a metric (3D) model of the environment. Results: By computing weights between already stored images and the real scene of the environment and take some considerations like sessions. The system gives advices for the blind person to select the right direction in indoor navigate depending on weights and session, where a mono camera cane-held gives information in front of the visually impaired person. Conclusion: A cane that has the ability of getting SIFT feature for an object or site from a sequence of live images using the suggested approach is very satisfactory, The session and weight, speed up the system and gives a wide range indoor navigation and may be used to outdoor. Experimental results demonstrated a good performance of proposed method, the identification of different scenes to the blind person done by constructing the weighted visual environment graph to the system. The proposed scheme is using SIFT features to represent the objects and the sites.
| Original language | English |
|---|---|
| Pages (from-to) | 883-889 |
| Number of pages | 7 |
| Journal | Journal of Computer Science |
| Volume | 5 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2009 |
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Keywords
- Localization
- Object recognition
- Sessions
- SIFT
- Weighted topological graph
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Artificial Intelligence
Cite this
Indoor navigation and localization for visually impaired people using weighted topological map. / Nordin, Md. Jan; Ali, Abbas M.
In: Journal of Computer Science, Vol. 5, No. 11, 2009, p. 883-889.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Indoor navigation and localization for visually impaired people using weighted topological map
AU - Nordin, Md. Jan
AU - Ali, Abbas M.
PY - 2009
Y1 - 2009
N2 - Problem Statement: Image base methods are a new approach for solving problems of navigations for visually impaired people. Approach: The study introduced a new approach of an electronic cane for blind people using the environment represented as a weighted topological graph instead, each node contains images taken at some poses in the work space, instead of building a metric (3D) model of the environment. Results: By computing weights between already stored images and the real scene of the environment and take some considerations like sessions. The system gives advices for the blind person to select the right direction in indoor navigate depending on weights and session, where a mono camera cane-held gives information in front of the visually impaired person. Conclusion: A cane that has the ability of getting SIFT feature for an object or site from a sequence of live images using the suggested approach is very satisfactory, The session and weight, speed up the system and gives a wide range indoor navigation and may be used to outdoor. Experimental results demonstrated a good performance of proposed method, the identification of different scenes to the blind person done by constructing the weighted visual environment graph to the system. The proposed scheme is using SIFT features to represent the objects and the sites.
AB - Problem Statement: Image base methods are a new approach for solving problems of navigations for visually impaired people. Approach: The study introduced a new approach of an electronic cane for blind people using the environment represented as a weighted topological graph instead, each node contains images taken at some poses in the work space, instead of building a metric (3D) model of the environment. Results: By computing weights between already stored images and the real scene of the environment and take some considerations like sessions. The system gives advices for the blind person to select the right direction in indoor navigate depending on weights and session, where a mono camera cane-held gives information in front of the visually impaired person. Conclusion: A cane that has the ability of getting SIFT feature for an object or site from a sequence of live images using the suggested approach is very satisfactory, The session and weight, speed up the system and gives a wide range indoor navigation and may be used to outdoor. Experimental results demonstrated a good performance of proposed method, the identification of different scenes to the blind person done by constructing the weighted visual environment graph to the system. The proposed scheme is using SIFT features to represent the objects and the sites.
KW - Localization
KW - Object recognition
KW - Sessions
KW - SIFT
KW - Weighted topological graph
UR - http://www.scopus.com/inward/record.url?scp=77952276221&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952276221&partnerID=8YFLogxK
U2 - 10.3844/jcssp.2009.883.889
DO - 10.3844/jcssp.2009.883.889
M3 - Article
AN - SCOPUS:77952276221
VL - 5
SP - 883
EP - 889
JO - Journal of Computer Science
JF - Journal of Computer Science
SN - 1549-3636
IS - 11
ER -