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of 21
pro vyhledávání: '"Amran Bhuiyan"'
Autor:
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2021, Iss 1, Pp 1-31 (2021)
Abstract 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. Although
Externí odkaz:
https://doaj.org/article/7751645e4e1b42aab28febe025bf1bf4
Publikováno v:
Sensors, Vol 23, Iss 3, p 1504 (2023)
Learning about appearance embedding is of great importance for a variety of different computer-vision applications, which has prompted a surge in person re-identification (Re-ID) papers. The aim of these papers has been to identify an individual over
Externí odkaz:
https://doaj.org/article/b19fed4200f0421fbd62ef4ebf60030d
Publikováno v:
Journal of Imaging, Vol 4, Iss 2, p 28 (2018)
Re-identification systems aim at recognizing the same individuals in multiple cameras, and one of the most relevant problems is that the appearance of same individual varies across cameras due to illumination and viewpoint changes. This paper propose
Externí odkaz:
https://doaj.org/article/acc2b6a4f49e40788707a235933d9dd7
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 10:69-75
Person re-identification (Re-id) is one of the important tools of video surveillance systems, which aims to recognize an individual across the multiple disjoint sensors of a camera network. Despite the recent advances on RGB camera-based person re-id
Person re-identification (Re-id) is one of the important tools of video surveillance systems, which aims to recognize an individual across the multiple disjoint sensors of a camera network. Despite the recent advances on RGB camera-based person re-id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::afe50861a90023836900f4694a4e1c4b
https://zenodo.org/record/5616332
https://zenodo.org/record/5616332
In the driving field of computer vision, re-identification of an individual in a camera network is very challenging task. Existing methods mainly focus on strategies based on feature learning, which provide feature space and force the same person to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05ed139ca6a5a330bb89f7268f48ffa7
https://zenodo.org/record/5524104
https://zenodo.org/record/5524104
Autor:
Amran Bhuiyan, Jimmy Xiangji Huang
Publikováno v:
Image and Vision Computing. 123:104474
Publikováno v:
WACV
Person re-identification is an important yet challenging problem in visual recognition. Despite the recent advances with deep learning (DL) models for spatio-temporal and multi-modal fusion, re-identification approaches often fail to leverage the con
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585822
ECCV (27)
ECCV (27)
Person re-identification (ReID) remains a challenging task in many real-word video analytics and surveillance applications, even though state-of-the-art accuracy has improved considerably with the advent of deep learning (DL) models trained on large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f61bf6cbe80a1c9279691cc5bf9a595d
https://doi.org/10.1007/978-3-030-58583-9_10
https://doi.org/10.1007/978-3-030-58583-9_10
Autor:
Le Thanh Nguyen-Meidine, Amran Bhuiyan, Ismail Ben Ayed, Madhu Kiran, Louis-Antoine Blais-Morin, Eric Granger
Publikováno v:
Image and Vision Computing. 113:104246
Person Re-Identification (ReID) is a challenging problem in many video analytics and surveillance applications, where a person's identity must be associated across a distributed non-overlapping network of cameras. Video-based person ReID has recently