Name
Abstract | ||
|---|---|---|
Visual object tracking performance has improved significantly in recent years. Most trackers are based on either of two paradigms: online learning of an appearance model or the use of a pre-trained ... |
Year | Venue | Field |
|---|---|---|
2016 | ISVC | Online learning,Computer vision,BitTorrent tracker,Computer science,Tracking system,Kalman filter,Active appearance model,Eye tracking,Person detection,Video tracking,Artificial intelligence |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gustav Häger | 1 | 596 | 14.86 |
| Goutam Bhat | 2 | 3 | 2.41 |
| Danelljan Martin | 3 | 1344 | 49.35 |
| Fahad Shahbaz Khan | 4 | 1622 | 69.24 |
| Michael Felsberg | 5 | 2419 | 130.29 |
| Piotr Rudol | 6 | 79 | 7.17 |
| Patrick Doherty | 7 | 15 | 6.97 |