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Content Provider | IEEE Xplore Digital Library |
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Author | Shuihua Wang Yingli Tian |
Copyright Year | 2011 |
Description | Author affiliation: Department of Electrical Engineering, The City College of New York, NY, 10031, USA (Shuihua Wang; Yingli Tian) |
Abstract | Object detection plays a very important role in many applications such as image retrieval, surveillance, robot navigation, wayfinding, etc. In this paper, we propose a novel approach to detect indoor signage to help blind people find their destinations in unfamiliar environments. Our method first extracts the attended areas by using a saliency map. Then the signage is detected in the attended areas by using bipartite graph matching. The proposed method can handle multiple signage detection. Experimental results on our collected indoor signage dataset demonstrate the effectiveness and efficiency of our proposed method. Furthermore, saliency maps could eliminate the interference information and improve the accuracy of the detection results. |
Starting Page | 518 |
Ending Page | 525 |
File Size | 999959 |
Page Count | 8 |
File Format | |
ISBN | 9781457716126 |
e-ISBN | 9781457716133 |
DOI | 10.1109/BIBMW.2011.6112422 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-11-12 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Visualization Image color analysis Feature extraction Cameras Elevators Bipartite graph Computational efficiency |
Content Type | Text |
Resource Type | Article |
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