Name
Abstract | ||
|---|---|---|
As the unique identification of a vehicle, license plate is a key clue to uncover over-speed vehicles or the ones involved in hit-and-run accidents. However, the snapshot of over-speed vehicle captured by surveillance camera is frequently blurred due to fast motion, which is even unrecognizable by human. Those observed plate images are usually in low resolution and suffer severe loss of edge infor... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIP.2016.2535375 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Kernel,Licenses,Estimation,Vehicles,Image edge detection,Robustness,Cameras | Kernel (linear algebra),Computer vision,Deblurring,Pattern recognition,Sparse approximation,Image processing,Motion blur,Artificial intelligence,Kernel (image processing),Radon transform,Mathematics,Kernel density estimation | Journal |
Volume | Issue | ISSN |
25 | 5 | 1057-7149 |
Citations | PageRank | References |
1 | 0.35 | 38 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingbo Lu | 1 | 12 | 1.55 |
| Wengang Zhou | 2 | 1226 | 79.31 |
| Lu Fang | 3 | 343 | 55.27 |
| Houqiang Li | 4 | 2090 | 172.30 |