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• W3166274350 abstract "Occluded person re-identification is one of the most challenging tasks in security surveillance. Most existing methods focus on extracting human body features from occluded pedestrian images. This paper prioritizes a difference between occluded and non-occluded person re-ID: When computing the similarity between a holistic pedestrian image and an occluded pedestrian image, a certain part of the human body in this holistic image can be distractive for pedestrian retrieval. To solve this problem, we propose an occluded person re-ID framework named attribute-based shift attention network (ASAN). First, unlike other methods that use off-the-shelf tools to locate pedestrian body parts in the occluded images, we design an attribute-guided occlusion-sensitive pedestrian segmentation (AOPS) module. AOPS is a weakly supervised method that leverages the semantic-level attribute annotations in person re-ID datasets. Second, guided by the pedestrian masks provided by AOPS, a shift feature adaption (SFA) module extracts the visible part of the human body feature in a part-based manner. After that, a visible region matching (VRM) algorithm is proposed to filter out the interfer-ence information in the holistic person images during the retrieval phase and further purify the representation of pedestrian features. Extensive experiments with ablation analysis demonstrate our method&#x2019;s effectiveness. And the state-of-the-art results are achieved on four occluded datasets Partial-REID, Partial-iLIDS, Occluded-DukeMTMC, and Occluded REID. Moreover, the experiments on two holistic person re-ID datasets Market-1501 and DukeMTMC-reID, and a vehicle re-ID dataset VeRi-776 show that ASAN also has a good generality." @default.
• W3166274350 created "2021-06-22" @default.
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• W3166274350 date "2022-04-01" @default.
• W3166274350 modified "2023-10-17" @default.
• W3166274350 title "Occlusion-Sensitive Person Re-Identification via Attribute-Based Shift Attention" @default.
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• W3166274350 doi "https://doi.org/10.1109/tcsvt.2021.3088446" @default.
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