Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss

Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss

Person re-identification (re-ID) is a challenging problem in the community which aims at identifying person in a surveillance video. Despite recent advance in the field of computer vision, person re-ID still presents great challenge since person’s presence is various under different illum...

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Bibliographic Details
Main Authors: Min Chen, Yongxin Ge, Xin Feng, Chuanyun Xu, Dan Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Person re-identification
metric learning
multiview learning
triplet loss function
Online Access:https://ieeexplore.ieee.org/document/8522036/

Internet

https://ieeexplore.ieee.org/document/8522036/

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