Person re-identification by unsupervised video matching-Reference-Cited by-同舟云学术

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Person re-identification by unsupervised video matching

Published:2017-05 Issue: Volume:65 Page:197-210
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Ma Xiaolong,Zhu Xiatian,Gong Shaogang,Xie Xudong,Hu Jianming,Lam Kin-Man,Zhong Yisheng

Funder

National Basic Research Program of China

National Science and Technology Support Program

National Natural Science Foundation China

Beijing Municipal Science and Technology Project

Tsinghua University Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference98 articles.

1. The Re-Identification Challenge;Gong,2014

2. M. Farenzena, L. Bazzani, A. Perina, V. Murino, M. Cristani, Person re-identification by symmetry-driven accumulation of local features, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010, pp. 2360–2367.

3. B. Prosser, W.-S. Zheng, S. Gong, T. Xiang, Person re-identification by support vector ranking, in: Proceedings of the British Machine Vision Conference, 2010.

4. M. Hirzer, P.M. Roth, M. Köstinger, H. Bischof, Relaxed pairwise learned metric for person re-identification, in: Proceedings of the European Conference on Computer Vision, 2012, pp. 780–793.

5. R. Zhao, W. Ouyang, X. Wang, Unsupervised salience learning for person re-identification, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 3586–3593.

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