Abstract | ||
---|---|---|
•Energy-aware-correlation-filter tracker to adaptively adjust the target for tracking.•New strategy to reject low quality samples and ensure model discriminant ability.•Combining bottom-up and top-down optimal strategy for training and robust tracking.•Outperform many state-of-the-art trackers on several challenging datasets. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1016/j.patcog.2020.107766 | Pattern Recognition |
Keywords | DocType | Volume |
Visual tracking,Energy-aware correlation filter (EACOFT),Enhanced feature,Top-down and bottom-up strategy | Journal | 112 |
Issue | ISSN | Citations |
1 | 0031-3203 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qiaoyuan Liu | 1 | 1 | 0.35 |
Jinchang Ren | 2 | 1144 | 88.54 |
Yuru Wang | 3 | 1 | 0.35 |
Yuanbo Wu | 4 | 1 | 0.35 |
Haijiang Sun | 5 | 1 | 0.35 |
Huimin Zhao | 6 | 206 | 23.43 |