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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang Jinglei Liu Zhengguang |
| Copyright Year | 2007 |
| Description | Author affiliation: Tianjin Univ., Tianjin (Zhang Jinglei; Liu Zhengguang) |
| Abstract | Monitoring traffic intersections in real time is an important part towards Intelligent transportation system. A road surveillance system using background subtraction and threshold segmentation calculated traffic parameters. First an improved background establish and updating algorithm was applied to setup a robust background filtering illumination disturbance. Then a self-adaptive max variance threshold algorithm was adopted to determine the threshold. Third, a fast region growing algorithm was employed to border vehicles in some rectangles fixed their edges. Finally, algorithms were mentioned to calculate traffic parameters including traffic flux, average speed and duty ratio of road. The experimental results show that the system is adapted to monitor a multi-lane road near an urban intersection. |
| Starting Page | 819 |
| Ending Page | 822 |
| File Size | 508737 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769529097 |
| DOI | 10.1109/SNPD.2007.495 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Automation Roads Image processing Calibration Intelligent transportation systems road surveillance system Image segmentation Surveillance Vehicle detection Traffic control Cameras Motion detection region growing. background subtraction |
| Content Type | Text |
| Resource Type | Article |
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