Name
Abstract | ||
|---|---|---|
Multi-object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limited temporal domain, which makes them inherently prone to identity switches and difficulties in handling long-term occlusions. In this study, a dominant set clust... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-cvi.2015.0297 | IET Computer Vision |
Keywords | DocType | Volume |
computer vision,graph theory,image fusion,object tracking,pattern clustering,set theory,video signal processing | Journal | 10 |
Issue | ISSN | Citations |
4 | 1751-9632 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yonatan tariku tesfaye | 1 | 14 | 1.30 |
| Eyasu Zemene | 2 | 0 | 0.34 |
| Marcello Pelillo | 3 | 1888 | 150.33 |
| A. Prati | 4 | 1238 | 80.43 |