Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ancong Wu"'
Publikováno v:
IEEE Access, Vol 7, Pp 156752-156763 (2019)
Person re-identification (Re-ID), which is for matching pedestrians across disjoint camera views in surveillance, has made great progress in supervised learning. However, requirement of a large number of labelled identities leads to high cost for lar
Externí odkaz:
https://doaj.org/article/04762598ae724392b10fb198953dc61d
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:688-696
In real world, training data for person re-identification (Re-ID) is collected discretely with spatial and temporal variations, which requires a model to incrementally learn new knowledge without forgetting old knowledge. This problem is called lifel
Autor:
Wei-Shi Zheng, Xiatian Zhu, Jianhuang Lai, Jiening Jiao, Ancong Wu, Shaogang Gong, Jiayin Qin, Jincheng Hong
Publikováno v:
International Journal of Computer Vision. 130:136-156
Person images captured by public surveillance cameras often have low resolutions (LRs), along with uncontrolled pose variations, background clutter and occlusion. These issues cause the resolution mismatch problem when matched with high-resolution (H
Publikováno v:
International Journal of Computer Vision. 128:1765-1785
Person re-identification (Re-ID) is an important problem in video surveillance for matching pedestrian images across non-overlapping camera views. Currently, most works focus on RGB-based Re-ID. However, RGB images are not well suited to a dark envir
Publikováno v:
International Journal of Computer Vision. 128:1654-1672
Person re-identification (re-id) plays a critical role in tracking people via surveillance systems by matching people across non-overlapping camera views at different locations. Although most re-id methods largely depend on the appearance features of
Publikováno v:
ACM Multimedia
Person re-identification (Re-ID) aims to match person images across non-overlapping camera views. The majority of Re-ID methods focus on small-scale surveillance systems in which each pedestrian is captured in different camera views of adjacent scene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6996c95afb10533e49241bda4b069a5
http://arxiv.org/abs/2107.13904
http://arxiv.org/abs/2107.13904
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Publikováno v:
CVPR
Recently, person re-identification (Re-ID) has achieved great progress. However, current methods largely depend on color appearance, which is not reliable when a person changes the clothes. Cloth-changing Re-ID is challenging since pedestrian images