Name
Abstract | ||
|---|---|---|
•We introduce a multiple expert person re-identification framework.•The answers produced by the experts are pooled using probability rules.•Significant improvements with respect to existing methods are achieved on 3 datasets.•Performances of single experts are always outperformed by the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.patrec.2015.11.022 | Pattern Recognition Letters |
Keywords | Field | DocType |
Re-identification,Multiple experts,Pooling,Police lineup | Data mining,Pattern recognition,Clutter,Pooling,Artificial intelligence,Multiple experts,Police lineup,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
71 | C | 0167-8655 |
Citations | PageRank | References |
12 | 0.58 | 44 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Niki Martinel | 1 | 349 | 24.39 |
| C. Micheloni | 2 | 934 | 62.52 |
| Gian Luca Foresti | 3 | 781 | 83.01 |