Results 41 to 50 of about 1,051,305 (274)
A Multiple Component Matching Framework for Person Re-Identification [PDF]
, 2011 Person re-identification consists in recognizing an individual that has already been observed over a network of cameras. It is a novel and challenging research topic in computer vision, for which no reference framework exists yet.
Cristani, Marco +4 more
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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
Bumsub Ham, Hyunjong Park
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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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Person Re-Identification via Attention Pyramid [PDF]
IEEE Transactions on Image Processing, 2021 In this paper, we propose an attention pyramid method for person re-identification. Unlike conventional attention-based methods which only learn a global attention map, our attention pyramid exploits the attention regions in a multi-scale manner because human attention varies with different scales.
Guangyi Chen +4 more
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Improving Person Re-Identification with Temporal Constraints [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022 In this paper we introduce an image-based person re-identification dataset collected across five non-overlapping camera views in the large and busy airport in Dublin, Ireland. Unlike all publicly available image-based datasets, our dataset contains timestamp information in addition to frame number, and camera and person IDs.
Dietlmeier, Julia +4 more
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A Comparison of Approaches for Person Re-identification
Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, 2014 Advanced surveillance applications often require the ability to re-identify an individual. In the typical context of a sensor network, this means to recognize a subject acquired at one location among a feasible set of candidates acquired at another locations and/or over time. Usually this does not necessarily imply to know the identity, and actually it
RICCIO, Daniel +3 more
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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.
Tao Xiang +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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Resolution-invariant Person Re-Identification [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Exploiting resolution invariant representation is critical for person Re-Identification (ReID) in real applications, where the resolutions of captured person images may vary dramatically. This paper learns person representations robust to resolution variance through jointly training a Foreground-Focus Super-Resolution (FFSR) module and a Resolution ...
Ming Yang, Shiliang Zhang, Shunan Mao
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Graph-based Person Signature for Person Re-Identifications [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 The task of person re-identification (ReID) is to match images of the same person over multiple non-overlapping camera views. Due to the variations in visual factors, previous works have investigated how the person identity, body parts, and attributes benefit the person ReID problem.
Binh Nguyen +5 more
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