Results 11 to 20 of about 1,288,433 (131)
Exploiting prunability for person re-identification
EURASIP Journal on Image and Video Processing, 2021 Recent years have witnessed a substantial increase in the deep learning (DL) architectures proposed for visual recognition tasks like person re-identification, where individuals must be recognized over multiple distributed cameras.
Hugo Masson +6 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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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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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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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 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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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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Person Re-identification with Correspondence Structure Learning [PDF]
, 2015 This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-
Lin, Weiyao +5 more
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