Multi-type attributes driven multi-camera person re-identification-Reference-Cited by-同舟云学术

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Multi-type attributes driven multi-camera person re-identification

Published:2018-03 Issue: Volume:75 Page:77-89
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Su Chi,Zhang Shiliang,Xing Junliang,Gao Wen,Tian Qi

Funder

National Science Foundation of China

ARO

NEC Laboratories of America and Blippar

NSF

DHS

Google

FXPAL

NEC

Blippar

SALSI

Akiira Media Systems

UTSA

ACM Service Award

UTSA Innovation Award

College of Science, UTSA

Publisher

Elsevier BV

Subject

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

Reference69 articles.

1. Person re-identification by symmetry-driven accumulation of local features;Farenzena,2010

2. Custom pictorial structures for re-identification;Cheng,2011

3. Bicov: a novel image representation for person re-identification and face verification;Ma,2012

4. Person re-identification: what features are important?;Liu,2012

5. Unsupervised salience learning for person re-identification;Zhao,2013

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