Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project
About
Although many methods perform well in single camera tracking, multi-camera tracking remains a challenging problem with less attention. DukeMTMC is a large-scale, well-annotated multi-camera tracking benchmark which makes great progress in this field. This report is dedicated to briefly introduce our method on DukeMTMC and show that simple hierarchical clustering with well-trained person re-identification features can get good results on this dataset.
Zhimeng Zhang, Jianan Wu, Xuan Zhang, Chi Zhang• 2017
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Multi-Target Multi-Camera Tracking | DukeMTMC (test-hard) | IDF177.6 | 13 | |
| Single-Camera Tracking | DukeMTMC easy (test) | IDF186.3 | 7 | |
| Multi-Target Multi-Camera Tracking | DukeMTMC (test-easy) | IDF178.3 | 6 |
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