Results 31 to 40 of about 115,817 (310)
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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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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Person re-identification using soft biometrics
Signal, Image and Video Processing, 2023 Abstract Pedestrian characteristics like bags, gender, clothes, or short hair might affect in identifying people in video surveillance. Due to variation in poses, illumination, background, and camera views, the fundamental problem in pedestrian attribute detection is the significant variation in visual manifestation and position of attributes ...
Fouaze Moussi +2 more
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Robust Depth-Based Person Re-Identification [PDF]
IEEE Transactions on Image Processing, 2017 IEEE Transactions on Image Processing Early ...
Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai
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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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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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Spatial-Temporal Person Re-Identification
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Most of current person re-identification (ReID) methods neglect a spatial-temporal constraint. Given a query image, conventional methods compute the feature distances between the query image and all the gallery images and return a similarity ranked table.
Wang, Guangcong +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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Person re-identification using visual attention [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 Published at IEEE International Conference on Image Processing ...
Rahimpour, Alireza +4 more
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