Viewpoint Transform Matching model for person re-identification

Author:

Zheng Ruochen,Gao Changxin,Sang Nong

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference54 articles.

1. A survey of approaches and trends in person re-identification;Bedagkar-Gala;Image and Vision Computing,2014

2. S. Gong, M. Cristani, S. Yan, C.C. Loy, Person re-identification, Springer, 2014.

3. L. Zheng, Y. Yang, A.G. Hauptmann, Person re-identification: past, present and future, arXiv preprint arXiv:1610.02984, 2016.

4. J. Xu, R. Zhao, F. Zhu, H. Wang, W. Ouyang, Attention-aware compositional network for person re-identification, arXiv preprint arXiv:1805.03344, 2018.

5. L. Zheng, Y. Huang, H. Lu, Y. Yang, Pose invariant embedding for deep person re-identification, arXiv preprint arXiv:1701.07732, 2017.

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