Name
Abstract | ||
|---|---|---|
•Our tracker judges the confidence and it takes relocation module to recover when tracking fails.•Position drift is constantly suppressed by an appearance filter designed to keep the memory of target. That promotes the accuracy.•The lost target can be relocated wherever it reappears and whatever it changes by multi-scale sliding window.•Improving the performance and saving the resources. our tracker is practical for long-term real-time actual robot systems in which resources are saved. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2020.12.113 | Neurocomputing |
Keywords | DocType | Volume |
Long-term UAV tracking,Correlation filter,Drift correction,Target relocate | Journal | 434 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muxi Jiang | 1 | 0 | 0.34 |
| Rui Li | 2 | 16 | 2.45 |
| Qisheng Liu | 3 | 0 | 0.34 |
| Yingjing Shi | 4 | 10 | 1.91 |
| Esteban Tlelo-Cuautle | 5 | 0 | 0.34 |