Results 41 to 50 of about 1,288,582 (274)

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, Nisuo Du, Zhi Ouyang, Ning Kang, Ziyan Liu, Xu Wang, Qing He, Yiling Xu, Shichun Ge, Jingkuan Song   +9 more
doaj   +1 more source

Person Re-identification in Identity Regression Space [PDF]

International Journal of Computer Vision, 2018
accepted by International Journal of Computer Vision (IJCV)
Hanxiao Wang, Xiatian Zhu, Shaogang Gong, Tao Xiang   +3 more
openaire   +4 more sources

Survey on Unsupervised Person Re-Identification [PDF]

Jisuanji gongcheng
The primary task of person Re-IDentification (ReID) is to identify and track a specific pedestrian across multiple non-overlapping cameras. With the development of deep neural networks and owing to the increasing demand for intelligent video surveillance,
TIAN Qing, WANG Bin, ZHOU Zixiao
doaj   +1 more source

Support Neighbor Loss for Person Re-Identification

, 2018
Person re-identification (re-ID) has recently been tremendously boosted due to the advancement of deep convolutional neural networks (CNN). The majority of deep re-ID methods focus on designing new CNN architectures, while less attention is paid on ...
Ding, Zhengming, Fu, Yun, Li, Kai, Li, Kunpeng, Zhang, Yulun   +4 more
core   +1 more source

Relation Network for Person Re-Identification

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Person re-identification (reID) aims at retrieving an image of the person of interest from a set of images typically captured by multiple cameras. Recent reID methods have shown that exploiting local features describing body parts, together with a global feature of a person image itself, gives robust feature representations, even in the case of missing
Park, Hyunjong, Ham, Bumsub
openaire   +3 more sources

Human Semantic Parsing for Person Re-identification [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Person re-identification is a challenging task mainly due to factors such as background clutter, pose, illumination and camera point of view variations. These elements hinder the process of extracting robust and discriminative representations, hence preventing different identities from being successfully distinguished.
Kalayeh, Mahdi M., Basaran, Emrah, Gokmen, Muhittin, Kamasak, Mustafa E., Shah, Mubarak   +4 more
openaire   +5 more sources

Person Re-identification Using Group Context [PDF]

, 2018
The person re-identification task consists in matching person images detected from surveillance cameras with non-overlapping fields of view. Most existing approaches are based on the person’s visual appearance. However, one of the main challenges, especially for a large gallery set, is that many people wear very similar clothing.
Chen, Yiqiang, Duffner, Stefan, Stoian, Andrei, Dufour, Jean-Yves, Baskurt, Atilla   +4 more
openaire   +2 more sources

Learning Correspondence Structures for Person Re-Identification [PDF]

IEEE Transactions on Image Processing, 2017
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-wise matching probabilities between images from a target camera pair.
Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu   +6 more
openaire   +3 more sources

PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification

, 2017
Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views. Although there has been much progress in person re-identification over the last decade, it remains a challenging task because ...
Cho, Yeong-Jun, Yoon, Kuk-Jin
core   +1 more source

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source