Papers › Person Re-identification: Past, Present and Future
Person Re-identification: Past, Present and Future
Liang Zheng, Yi Yang, Alexander G. Hauptmann
Person re-identification (re-ID) has become increasingly popular in the community due to its application and research significance. It aims at spotting a person of interest in other cameras. In the early days, hand-crafted algorithms and small-scale evaluation were predominantly reported. Recent years have witnessed the emergence of large-scale datasets and deep learning systems which make use of large data volumes. Considering different tasks, we classify most current re-ID methods into two classes, i.e., image-based and video-based; in both tasks, hand-crafted and deep learning systems will be reviewed. Moreover, two new re-ID tasks which are much closer to real-world applications are described and discussed, i.e., end-to-end re-ID and fast re-ID in very large galleries. This paper: 1) introduces the history of person re-ID and its relationship with image classification and instance retrieval; 2) surveys a broad selection of the hand-crafted systems and the large-scale methods in both image- and video-based re-ID; 3) describes critical future directions in end-to-end re-ID and fast retrieval in large galleries; and 4) finally briefs some important yet under-developed issues.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Person Re-Identification | DukeMTMC-reID | IDE | Rank-1 | 65.22 | #87 of 94 | Archive leaderboard | report |
| Person Re-Identification | DukeMTMC-reID | IDE | mAP | 44.99 | #87 of 94 | Archive leaderboard | report |
| Person Re-Identification | Market-1501 | IDE | Rank-1 | 72.54 | #116 of 135 | Archive leaderboard | report |
| Person Re-Identification | Market-1501 | IDE | mAP | 46.00 | #116 of 135 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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