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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

TaskDatasetResultRank
Multi-Target Multi-Camera TrackingDukeMTMC (test-hard)
IDF177.6
13
Single-Camera TrackingDukeMTMC easy (test)
IDF186.3
7
Multi-Target Multi-Camera TrackingDukeMTMC (test-easy)
IDF178.3
6
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