English

Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project

Computer Vision and Pattern Recognition 2017-12-29 v1

Abstract

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.

Keywords

Cite

@article{arxiv.1712.09531,
  title  = {Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project},
  author = {Zhimeng Zhang and Jianan Wu and Xuan Zhang and Chi Zhang},
  journal= {arXiv preprint arXiv:1712.09531},
  year   = {2017}
}

Comments

4 pages, 1 figure

R2 v1 2026-06-22T23:30:01.759Z