Joint Feature and Similarity Deep Learning for Vehicle Re-identification

Joint Feature and Similarity Deep Learning for Vehicle Re-identification

In this paper, a joint feature and similarity deep learning (JFSDL) method for vehicle reidentification is proposed. The proposed JFSDL method applies a siamese deep network to extract deep learning features for an input vehicle image pair simultaneously. The siamese deep network is learned under th...

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Bibliographic Details
Main Authors: Jianqing Zhu, Huanqiang Zeng, Yongzhao Du, Zhen Lei, Lixin Zheng, Canhui Cai
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Vehicle re-identification
feature representation
similarity learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/8424333/

Internet

https://ieeexplore.ieee.org/document/8424333/

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