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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Hong-jiang Ren Na Zhang Wen-qiang Zhao Ting-ting Cui Lun-feng Zhang Rong-xue Tian Feng |
| Copyright Year | 2010 |
| Abstract | A method for the traffic signal recognition of his color space and bp neural network algorithm. First convert the traffic signal images from RGB space to HSI space, and then extracted H Component characteristics from HSI space in the traffic signal images, according to the Component histogram, determine the signal color. Finally, BP neural network is applied for the traffic signal lights recognition. It's demonstrated by practice that BP neural network can be used for fast and efficient recognition of traffic signal with high accuracy and practical value. |
| Starting Page | 298 |
| Ending Page | 301 |
| File Size | 357630 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424483334 |
| DOI | 10.1109/ISDEA.2010.182 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Training Histograms Image recognition Bp neural network algorithm Image color analysis Signal processing algorithms Artificial neural networks Hsi color space Statistical histogram The traffic signal |
| Content Type | Text |
| Resource Type | Article |
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