Name
Abstract | ||
|---|---|---|
In this paper, we propose a traffic flow estimation system for intelligent highway surveillance applications under rainy conditions. Major contributions of the proposed system include flexible feature extraction, robust estimation with adaptive clustering, and effective graph-based traffic flow mapping model. To detect rain-drop tampered scenes, features are extracted via salient region detection ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MIS.2018.111144331 | IEEE Intelligent Systems |
Keywords | Field | DocType |
Feature extraction,Estimation,Videos,Traffic control,Image edge detection,Laplace equations,Surveillance | Data mining,Computer vision,Graph,Traffic flow,Regression,Regression analysis,Computer science,Segmentation,Feature extraction,Artificial intelligence,Cluster analysis,Salient | Journal |
Volume | Issue | ISSN |
33 | 1 | 1541-1672 |
Citations | PageRank | References |
2 | 0.52 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsu-Yung Cheng | 1 | 243 | 23.56 |