TY - JOUR
T1 - Survey on person re-identification based on deep learning
AU - Wang, Kejun
AU - Wang, Haolin
AU - Liu, Meichen
AU - Xing, Xianglei
AU - Han, Tian
N1 - Publisher Copyright:
© CAAI Transactions on Intelligence Technology 2018. All rights reserved.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Person re-identification (Re-ID) is a fundamental subject in the field of the computer vision technologies. The traditional methods of person Re-ID have difficulty in solving the problems of person illumination, occlusion and attitude change under complex background. Meanwhile, the introduction of deep learning opens a new way of person Re-ID research and becomes a hot spot in this field. This study reviews the traditional methods of person Re-ID, then the authors focus on the related papers about different person Re-ID frameworks on the basis of deep learning, and discusses their advantages and disadvantages. Finally, they propose the direction of further research, especially the prospect of person Re-ID methods based on deep learning.
AB - Person re-identification (Re-ID) is a fundamental subject in the field of the computer vision technologies. The traditional methods of person Re-ID have difficulty in solving the problems of person illumination, occlusion and attitude change under complex background. Meanwhile, the introduction of deep learning opens a new way of person Re-ID research and becomes a hot spot in this field. This study reviews the traditional methods of person Re-ID, then the authors focus on the related papers about different person Re-ID frameworks on the basis of deep learning, and discusses their advantages and disadvantages. Finally, they propose the direction of further research, especially the prospect of person Re-ID methods based on deep learning.
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U2 - 10.1049/trit.2018.1001
DO - 10.1049/trit.2018.1001
M3 - Article
AN - SCOPUS:85064280753
SN - 2468-6557
VL - 3
SP - 219
EP - 227
JO - CAAI Transactions on Intelligence Technology
JF - CAAI Transactions on Intelligence Technology
IS - 4
ER -