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Content Provider | IEEE Xplore Digital Library |
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Author | Jianping Wu Maoxin Si Fangyong Tan Caidong Gu |
Copyright Year | 2009 |
Abstract | This paper presents a real-time robust algorithm to automatically detect and classify round road signs on Chinese highways. As most of road signs on Chinese highways have circular borders, the detection system first takes advantage of a real-time circle detection algorithm to extract the regions of interest (ROI). Then the color and texture pattern in each ROI is analyzed and compared with sample signs to both validate the candidate road sign and identify their types. The algorithm is implemented in Visual C++ and tested on a laptop powered by an Intel Centrino Duo CPU at 1.8GHz. The experiment shows the algorithm’s speed is fast, 83 ms/images on average for image size of 640X480, and its false negative (failure to detect) is 21 signs or 4% (failure to detect) for a pool of 530 different road signs in a pool of 1000 pictures. And there are 3 non-road-sign objects incorrectly recognized as valid road signs. |
Starting Page | 540 |
Ending Page | 544 |
File Size | 480676 |
Page Count | 5 |
File Format | |
ISBN | 9781424452378 |
DOI | 10.1109/ICIG.2009.66 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-09-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Real time systems digital image processing Portable computers Roads road sign recognition Automated highways Image texture analysis Road sign detection Image color analysis computer vision Robustness Detection algorithms Pattern analysis Testing |
Content Type | Text |
Resource Type | Article |
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