Name
Abstract | ||
|---|---|---|
Violation vehicle automated snap and road congestion detection play an important role in intelligent transportation system. This article discusses the methods of target detection and recognition in mobile videos. Firstly, a practical method of lane detection based on Hough transforms is put forward. Then a method of target localization under the complex conditions in videos is studied, which is based on rear lights detection. Lastly, a standard how to set traffic congestion into 5 levels according to traffic conditions is proposed. The experiments show the algorithm is effective in reducing the false detection rate and improving the detection speed. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CCIS.2016.7790217 | 2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS) |
Keywords | Field | DocType |
Vehicle detection,Violation snap,Hough transforms,Road congestion | Hough transforms,False detection,Computer science,Vehicle detection,Real-time computing,Lane detection,Intelligent transportation system,Congestion detection,Traffic conditions,Traffic congestion | Conference |
ISSN | ISBN | Citations |
2376-5933 | 978-1-5090-1257-2 | 0 |
PageRank | References | Authors |
0.34 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaopeng Ji | 1 | 0 | 0.34 |
| Zhiqiang Wei | 2 | 27 | 7.36 |
| Lei Huang | 3 | 24 | 6.42 |
| Yun Gao | 4 | 3 | 0.81 |