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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3600385
Abstract: In recent years, the task of person re-identification (Re-ID) has improved considerably with the advances in deep learning methodologies. However, occluded person Re-ID remains a challenging task, as parts of the body of the individual…
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Keywords:
end;
person;
person identification;
end end ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3379577
Abstract: Occluded person Re-identification (ReID) aims to match occluded and holistic pedestrian images across different camera views. This task presents two primary challenges. First, it is crucial to accurately capture pedestrian foregrounds from seriously occluded person…
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Keywords:
contrastive pedestrian;
correlation;
correlation learning;
identification ... See more keywords
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Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3531142
Abstract: Occluded person re-identification (Re-ID) is a challenging problem due to the absence of notable discriminative features resulting from incomplete body part images and interference from occluded regions. Recently, some transformer-based methods have demonstrated excellent capabilities…
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Keywords:
person;
mask aware;
person identification;
mask ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3218449
Abstract: Due to incomplete appearance features, the identity matching of occluded pedestrians under multiple cross-camera views is a long-term challenge. Although existing re-identification (re-ID) solutions of occluded pedestrians have made significant progress, most of them achieve…
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Keywords:
identity matching;
identification;
person;
occluded person ... See more keywords
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Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3558586
Abstract: Existing occluded person re-identification (re-ID) methods mainly learn limited visual information for occluded pedestrians from images. However, textual information, which can describe various human appearance attributes, is rarely fully utilized in the task. To address…
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Keywords:
information;
person;
hierarchical context;
occluded person ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2023.3265159
Abstract: Due to its significant capability of modeling long-range dependencies, vision transformer (ViT) has achieved promising success in both holistic and occluded person re-identification (Re-ID) tasks. However, the inherent problems of transformers such as the huge…
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Keywords:
map;
attention map;
person;
occluded person ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2023.3331192
Abstract: Occluded person re-identification (Re-ID) is a challenging task, as various object-to-person (OTP) and person-to-person (PTP) occlusion scenarios cause diverse occlusion interference and target person feature loss problems in person matching. Most existing methods, which utilize…
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Keywords:
person;
occlusion;
model;
feature ... See more keywords
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1
Published in 2022 at "Symmetry"
DOI: 10.3390/sym14071454
Abstract: Person re-identification (Re-ID) aims to retrieve a specific pedestrian across a multi-disjoint camera in a surveillance system. Most of the research is based on a strong assumption that images should contain a full human torso.…
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Keywords:
multi scale;
person;
occluded person;
person identification ... See more keywords