Occluded pedestrian re-identification based on Multiple Fusion and Semantic feature Mining

Occluded pedestrian re-identification based on Multiple Fusion and Semantic feature Mining

The field of person re-identification (re-ID) encounters challenges such as inter-person similarity and occlusion. In this paper, we introduce an occluded pedestrian re-ID method based on Multiple Fusion and Semantic feature Mining (MFSM) to mitigate the adverse effects of occlusion on feature repre...

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Bibliographic Details
Main Authors: Junjie Wu, Peng Zhao, Luxia Yang, Gang Wang
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Alexandria Engineering Journal
Subjects:
Occluded person re-identification
Feature enhancement
Feature integration
Feature expansion
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824002047

Internet

http://www.sciencedirect.com/science/article/pii/S1110016824002047

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