Name
Title | ||
|---|---|---|
Multiple Kernelized Correlation Filters (MKCF) for Extended Object Tracking Using X-band Marine Radar Data |
Abstract | ||
|---|---|---|
Conventional tracking filter in marine radar only concerns the position or shape of the object. When the target encounters the clutter interruption or ship occlusion, the tracker is easy to drift away due to the wrong target association. Since in short-range maritime surveillance, the X-band marine radar captures the object in an extended region with varying intensities, in this paper, combining p... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2019.2917812 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Radar tracking,Target tracking,Visualization,Marine vehicles,Shape | BitTorrent tracker,Computer vision,Radar tracker,Control theory,Visualization,Clutter,Segmentation,Robustness (computer science),Video tracking,Artificial intelligence,Initialization,Mathematics | Journal |
Volume | Issue | ISSN |
67 | 14 | 1053-587X |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi Zhou | 1 | 12 | 1.60 |
| Tian Wang | 2 | 37 | 6.13 |
| Ronghua Hu | 3 | 2 | 0.37 |
| Hang Su | 4 | 448 | 47.57 |
| Yi Liu | 5 | 2 | 0.37 |
| Xiaoming Liu | 6 | 19 | 3.09 |
| Jidong Suo | 7 | 3 | 0.72 |
| Hichem Snoussi | 8 | 509 | 62.19 |