Results 31 to 40 of about 1,229,322 (315)
A survey of person re-identification based on deep learning
工程科学学报, 2022 Person re-identification is an important part of multi-target tracking across cameras; its aim is to identify the same person across different cameras. Given a query image, the purpose of person re-identification is to find the best match for the query ...
Qing LI +4 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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Attention driven person re-identification [PDF]
Pattern Recognition, 2019 Person re-identification (ReID) is a challenging task due to arbitrary human pose variations, background clutters, etc. It has been studied extensively in recent years, but the multifarious local and global features are still not fully exploited by either ignoring the interplay between whole-body images and body-part images or missing in-depth ...
Ke Yan +5 more
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Person re-identification by pose priors [PDF]
SPIE Proceedings, 2015 The person re-identification problem is a well known retrieval task that requires finding a person of interest in a network of cameras. In a real-world scenario, state of the art algorithms are likely to fail due to serious perspective and pose changes as well as variations in lighting conditions across the camera network. The most effective approaches
Bak, Slawomir +2 more
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Bike-Person Re-Identification: A Benchmark and a Comprehensive Evaluation
IEEE Access, 2018 Existing person re-identification (re-id) datasets only consist of pedestrian images, which are far more behind what the real surveillance system holds.
Yuan Yuan, Jian'an Zhang, Qi Wang
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Person Re-Identification by Siamese Network
Inteligencia Artificial, 2023 Re-Identification of person aims at retrieval of person across multiple non overlapping camera. There was a huge gain in the computer vision community with the advancement of deep learning features and also the number of surveillance in videos increased.
Newlin Shebiah Russel +3 more
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Grafted network for person re-identification [PDF]
Signal Processing: Image Communication, 2020 Convolutional neural networks have shown outstanding effectiveness in person re-identification (re-ID). However, the models always have large number of parameters and much computation for mobile application. In order to relieve this problem, we propose a novel grafted network (GraftedNet), which is designed by grafting a high-accuracy rootstock and a ...
Zhuang Miao +4 more
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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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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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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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