In this package, we provide the source code for our new paper :
Xun Yang, Meng Wang, Richang Hong, Qi Tian, Yong Rui. Enhancing Person Re-identification in a Self-trained Subspace. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2017.
@article{Yang2017TOMM,
author = {Yang, Xun and Wang, Meng and Hong, Richang and Tian, Qi and Rui, Yong},
title = {Enhancing Person Re-identification in a Self-Trained Subspace},
journal = {ACM Trans. Multimedia Comput. Commun. Appl.},
issue_date = {July 2017},
volume = {13},
number = {3},
month = jun,
year = {2017},
issn = {1551-6857},
pages = {27:1--27:23},
articleno = {27},
numpages = {23},
url = {http://doi.acm.org/10.1145/3089249},
publisher = {ACM},
}
Our work presents a simple yet effective semi-supervised approach for person re-identification.
We only provide the GOG feature of the VIPeR dataset in the 'Features' folder. For the GOG feature of the CUHK01 dataset, please download the GOG_CUHK01.zip file from the page http://www.i.kyushu-u.ac.jp/~matsukawa/ReID.html.
Pls also cite the following paper if you use this code:
Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato. Hierarchical Gaussian Descriptor for Person Re-Identification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR2016), pp.1363--1372, 2016
Please feel free to contact me for any questions. (hfutyangxun@gmail.com)