Name
Title | ||
|---|---|---|
Non-rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps |
Abstract | ||
|---|---|---|
•A novel effective non-rigid object tracking framework is proposed with the spatial-temporal consistent saliency detection.•An efficient TFCN is developed to produce the local saliency prior for a given image region.•A multi-scale multi-region mechanism is presented to generate multiple local saliency maps and then fuse them through a weighted entropy method.•Extensive experiments on public saliency detection and visual tracking datasets show that our algorithm achieves considerably impressive results in both research fields. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patcog.2019.107130 | Pattern Recognition |
Keywords | DocType | Volume |
Deep neural network,Non-rigid object tracking,Salient object detection,Spatial-temporal consistency | Journal | 100 |
Issue | ISSN | Citations |
1 | 0031-3203 | 7 |
PageRank | References | Authors |
0.42 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pingping Zhang | 1 | 317 | 20.08 |
| Wei Liu | 2 | 4041 | 204.19 |
| Dong Wang | 3 | 326 | 14.06 |
| Yinjie Lei | 4 | 170 | 14.66 |
| Wang Hongyu | 5 | 8 | 1.79 |
| Chunhua Shen | 6 | 4817 | 234.19 |
| Huchuan Lu | 7 | 4827 | 186.26 |