Name
Title | ||
|---|---|---|
An Approach to Overcome Occlusions in Visual Tracking: By Occlusion Estimating Agency and Self-Adapting Learning Rate for Filter's Training. |
Abstract | ||
|---|---|---|
Visual tracking methods have been successful in recent years. Correlation filter (CF) based methods significantly advanced state-of-the-art tracking. The advancement in CF tracking performance is predominantly attributed to powerful features and sophisticated online learning formulations. However, there would be trouble if the tracker indiscriminately learned samples. Particularly, when the target... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2856102 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Target tracking,Tracking,Histograms,Visual systems | Histogram,BitTorrent tracker,Occlusion,Pattern recognition,Color histogram,Visualization,Robustness (computer science),Eye tracking,Artificial intelligence,Discriminative model,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 12 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaiwen Jiang | 1 | 0 | 0.34 |
| Feng Qian | 2 | 18 | 3.15 |
| Ce Song | 3 | 0 | 0.68 |
| Bao Zhang | 4 | 3 | 1.17 |