# Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild

@inproceedings{Ye2018RobustAE,
title={Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild},
author={Mang Ye and Xiangyuan Lan and Pong Chi Yuen},
booktitle={ECCV},
year={2018}
}
• Published in ECCV 8 September 2018
• Computer Science
This paper addresses the scalability and robustness issues of estimating labels from imbalanced unlabeled data for unsupervised video-based person re-identification (re-ID). To achieve it, we propose a novel Robust AnChor Embedding (RACE) framework via deep feature representation learning for large-scale unsupervised video re-ID. Within this framework, anchor sequences representing different persons are firstly selected to formulate an anchor graph which also initializes the CNN model to get…
84 Citations

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