Person Re-Identification
Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.
Papers
Showing 1–10 of 1488 papers
All datasetsMarket-1501DukeMTMC-reIDMSMT17Occluded-DukeMTMCMarket-1501-CCUHK03 detectedCUHK03 labeledMARSCUHK03LTCCPRCCPRID2011
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CSCI | Rank-1 | 50.3 | — | Unverified |
| 2 | CAL+GEFF | Rank-1 | 46.4 | — | Unverified |
| 3 | RLQ (CAP + TAD) | Rank-1 | 46.4 | — | Unverified |
| 4 | FIRe2 | Rank-1 | 44.6 | — | Unverified |
| 5 | CSSC | Rank-1 | 43.6 | — | Unverified |
| 6 | CAL+DLCR | Rank-1 | 41.3 | — | Unverified |
| 7 | SirNet | Rank-1 | 40.3 | — | Unverified |
| 8 | FSAM | Rank-1 | 38.5 | — | Unverified |
| 9 | CAMC | Rank-1 | 36 | — | Unverified |
| 10 | 3DSL | Rank-1 | 31.2 | — | Unverified |