Name
Title | ||
|---|---|---|
Learning correlation filters in independent feature channels for robust visual tracking |
Abstract | ||
|---|---|---|
•Three infects of most existing correlation filter-based tracking algorithms are investigated.•Specific correlation filters are learned for independent feature channels.•The final response map is generated according to the confidence of independent feature channels.•Adaptive learning rates varying with the interframe variance of independent feature channels are exploited.•In addition to the accuracy of our approach, the real-time performance is excellent running at 70 FPS. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2018.09.009 | Pattern Recognition Letters |
Keywords | Field | DocType |
Visual tracking,Correlation filter,Multiple feature channels | Computer vision,BitTorrent tracker,Correlation filter,Feature vector,Pattern recognition,Communication channel,Eye tracking,Correlation,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
127 | 0167-8655 | 1 |
PageRank | References | Authors |
0.35 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cailing Wang | 1 | 1 | 1.03 |
| Yechao Xu | 2 | 1 | 0.69 |
| Huajun Liu | 3 | 1 | 1.03 |
| Xiao-Yuan Jing | 4 | 769 | 55.18 |