Results 21 to 30 of about 115,817 (310)
Global Contrastive Person Re-identification
Journal of Physics: Conference Series, 2021 Abstract Solving the problem of pedestrians being occluded by objects is extremely challenging. Using part-level features to describe pedestrian images can provide fine-grained information. However, only paying attention to the local features of body will lack global pedestrian information. And the network consumes time and memory.
Shengyu Pei, Xiaoping Fan
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Cross‐modality person re‐identification using hybrid mutual learning
IET Computer Vision, 2023 Cross‐modality person re‐identification (Re‐ID) aims to retrieve a query identity from red, green, blue (RGB) images or infrared (IR) images. Many approaches have been proposed to reduce the distribution gap between RGB modality and IR modality. However,
Zhong Zhang +5 more
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Stochastic attentions and context learning for person re-identification [PDF]
PeerJ Computer Science, 2021 The discriminative parts of people’s appearance play a significant role in their re-identification across non overlapping camera views. However, just focusing on the discriminative or attention regions without catering the contextual information does not
Nazia Perwaiz +2 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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Deep-Facial Feature-Based Person Re-identification for Authentication in Surveillance Applications [PDF]
ITM Web of Conferences, 2021 Nowadays, a large network of cameras is predominantly used in public places which provide enormous video data. These data are monitored manually and may be utilized only when the need arises to ascertain the facts.
Borse Pranjal +3 more
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, 2022 Person Re-Identification (Re-ID) is an important problem in computer vision-based surveillance applications, in which one aims to identify a person across different surveillance photographs taken from different cameras having varying orientations and field of views.
Chasmai, Mustafa Ebrahim +1 more
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Person Re-Identification by Saliency Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Human eyes can recognize person identities based on small salient regions, i.e. human saliency is distinctive and reliable in pedestrian matching across disjoint camera views. However, such valuable information is often hidden when computing similarities of pedestrian images with existing approaches.
Rui Zhao, Wanli Oyang, Xiaogang Wang
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Person Search via Deep Integrated Networks
Applied Sciences, 2019 This study proposes an integrated deep network consisting of a detection and identification module for person search. Person search is a very challenging problem because of the large appearance variation caused by occlusion, background clutter, pose ...
Ju-Chin Chen +3 more
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Unifying Person and Vehicle Re-Identification
IEEE Access, 2020 Person and vehicle re-identification (re-ID) are important challenges for the analysis of the burgeoning collection of urban surveillance videos. To efficiently evaluate such videos, which are populated with both vehicles and pedestrians, it would be ...
Daniel Organisciak +4 more
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Denseformer: A dense transformer framework for person re‐identification
IET Computer Vision, 2023 Transformer has shown its effectiveness and advantage in many computer vision tasks, for example, image classification and object re‐identification (ReID).
Haoyan Ma +3 more
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