Fusion in dissimilarity space for RGB-D person re-identification

Fusion in dissimilarity space for RGB-D person re-identification

Person re-identification (Re-id) is the task of recognizing people across different non-overlapping sensors of a camera network. Despite the recent advances with deep learning (DL) models for multi-modal fusion, state-of-the-art Re-id approaches fail to leverage the depth guided contextual informati...

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Bibliographic Details
Main Authors: Md Kamal Uddin, Antony Lam, Hisato Fukuda, Yoshinori Kobayashi, Yoshinori Kuno
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Array
Subjects:
Re-identification
RGB-D sensors
Dissimilarity space
Triplet loss
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005621000369

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http://www.sciencedirect.com/science/article/pii/S2590005621000369

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