Results 31 to 40 of about 117,086 (262)
Person Re-identification Based on Feature Location and Fusion [PDF]
Jisuanji kexue, 2022 Pedestrian appearance attributes are important semantic information distinguishing pedestrian differences.Pedestrian attribute recognition plays a vital role in intelligent video surveillance,which can help us quickly screen and retrieve target ...
YANG Xiao-yu, YIN Kang-ning, HOU Shao-qi, DU Wen-yi, YIN Guang-qiang
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Relation Network for Person Re-Identification
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Person re-identification (reID) aims at retrieving an image of the person of interest from a set of images typically captured by multiple cameras. Recent reID methods have shown that exploiting local features describing body parts, together with a global feature of a person image itself, gives robust feature representations, even in the case of missing
Hyunjong Park, Bumsub Ham
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Modeling Unknown Class Centers for Metric Learning on Person Re-Identification
IEEE Access, 2018 Metric learning is one of the major methods for person re-identification. Most existing metric learning methods for person re-identification first generate the pairwise constraints where the sample pairs with the same labels consist of the positive set ...
Yuan Yuan, Jian'an Zhang, Qi Wang
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Universal Person Re-Identification
CoRR, 2019 Most state-of-the-art person re-identification (re-id) methods depend on supervised model learning with a large set of cross-view identity labelled training data. Even worse, such trained models are limited to only the same-domain deployment with significantly degraded cross-domain generalization capability, i.e. "domain specific".
Xu Lan, Xiatian Zhu, Shaogang Gong
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A New Model for Person Reidentification Using Deep CNN and Autoencoders [PDF]
Iranica Journal of Energy and Environment, 2023 Person re-identification (re-id) is one of the most critical and challenging topics in image processing and artificial intelligence. In general, person re-identification means that a person seen in the field of view of one camera can be found and tracked
A. Sezavar, H. Farsi, S. Mohamadzadeh
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Human-in-the-Loop Person Re-identification [PDF]
, 2016 Current person re-identification (re-id) methods assume that (1) pre-labelled training data are available for every camera pair, (2) the gallery size for re-identification is moderate. Both assumptions scale poorly to real-world applications when camera network size increases and gallery size becomes large.
Hanxiao Wang 0001 +3 more
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Two‐way constraint network for RGB‐Infrared person re‐identification
Electronics Letters, 2021 RGB‐Infrared person re‐identification (RGB‐IR Re‐ID) is a task aiming to retrieve and match person images between RGB images and IR images. Since most surveillance cameras capture RGB images during the day and IR images at night, RGB‐IR Re‐ID is helpful ...
Haitang Zeng +3 more
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Part‐level attention networks for cross‐domain person re‐identification
IET Image Processing, 2021 Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accuracy, poor ...
Qun Zhao +9 more
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Identity Adaptation for Person Re-Identification
IEEE Access, 2018 Person re-identification (re-ID), which aims to identify the same individual from a gallery collected with different cameras, has attracted increasing attention in the multimedia retrieval community.
Qiuhong Ke +5 more
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Gait recognition for person re-identification [PDF]
The Journal of Supercomputing, 2020 AbstractPerson re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition based on the walking style, is mostly used for this purpose due to that human gait has unique characteristics that allow recognizing a person
Elharrouss O. +3 more
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