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  1. Network Modeling Analysis in Health Informatics and Bioinformatics
  2. Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2
  3. Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2, Issue 2, July 2013
  4. Detecting signage and doors for blind navigation and wayfinding
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Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 7
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 6
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 5
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 4
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2, Issue 4, December 2013
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2, Issue 3, September 2013
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2, Issue 2, July 2013
Biomedical and Health Informatics (BIH) workshop 2011
Monitoring activity of taking medicine by incorporating RFID and video analysis
Finding objects for assisting blind people
Detecting signage and doors for blind navigation and wayfinding
Application of density estimation algorithms in analyzing co-morbidities of migraine
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2, Issue 1, February 2013
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 1

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Detecting signage and doors for blind navigation and wayfinding

Content Provider Springer Nature Link
Author Wang, Shuihua Tian, Yingli Yang, Xiaodong
Copyright Year 2013
Abstract Signage plays a very important role to find destinations in applications of navigation and wayfinding. In this paper, we propose a novel framework to detect doors and signage to help blind people accessing unfamiliar indoor environments. In order to eliminate the interference information and improve the accuracy of signage detection, we first extract the attended areas using a saliency map. Then the signage is detected in the attended areas using a bipartite graph matching. The proposed method can handle multiple signage detection. Furthermore, in order to provide more information for blind users to access the area associated with the detected signage, we develop a robust method to detect doors based on a geometric door frame model which is independent to door appearances. Experimental results on our collected datasets of indoor signage and doors demonstrate the effectiveness and efficiency of our proposed method.
Starting Page 81
Ending Page 93
Page Count 13
File Format PDF
ISSN 21926662
Journal Network Modeling Analysis in Health Informatics and Bioinformatics
Volume Number 2
Issue Number 2
e-ISSN 21926670
Language English
Publisher Springer Vienna
Publisher Date 2013-02-06
Publisher Place Vienna
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Computational Biology/Bioinformatics Complex Networks Health Informatics Bioinformatics
Content Type Text
Resource Type Article
Subject Urology
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