Results 51 to 60 of about 117,086 (262)

End-to-End Occluded Person Re-Identification With Artificial Occlusion Generation

IEEE Access
In recent years, the task of person re-identification (Re-ID) has improved considerably with the advances in deep learning methodologies. However, occluded person Re-ID remains a challenging task, as parts of the body of the individual are frequently ...
Leonardo Capozzi, Jaime S. Cardoso, Ana Rebelo   +2 more
doaj   +1 more source

ANALYSIS OF DIFFERENT DEEP LEARNING APPROACHES BASED ON DEEP NEURAL NETWORKS FOR PERSON RE-IDENTIFICATION [PDF]

Carpathian Journal of Electrical Engineering, 2023
In this work, different deep learning approaches based on deep neural networks for person re-identification were analyzed. Both identification and re-identification of people are frequently required in various fields of human life.
Adnan RAMAKIC, Zlatko BUNDALO, Dušanka BUNDALO   +2 more
doaj  

Segment attention‐guided part‐aligned network for person re‐identification

Electronics Letters, 2021
Part misalignment of the human body caused by complex variations in viewpoint and pose poses a fundamental challenge to person re‐identification. This letter examines Res2Net as the backbone network to extract multi‐scale appearance features. At the same
Wen Wang, Yongwen Liu, Gaoyun An
doaj   +1 more source

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan, Mohamed S. Abdelbaki   +1 more
wiley   +1 more source

GPAN-PS: Global-Response Pedestrian Attention Network for End-to-End Person Search

IEEE Access
Person search, which involves identifying target pedestrians in extensive galleries through person detection and re-identification, has experienced significant advancements across various applications.
Linlin Zheng, Dezhi Han, Xiaoqi Xin
doaj   +1 more source

Large margin relative distance learning for person re‐identification

IET Computer Vision, 2017
Distance metric learning has achieved great success in person re‐identification. Most existing methods that learn metrics from pairwise constraints suffer the problem of imbalanced data. In this study, the authors present a large margin relative distance
Husheng Dong, Shengrong Gong, Chunping Liu, Yi Ji, Shan Zhong   +4 more
doaj   +1 more source

LiDAR-Based Person Re-Identification

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Camera-based person re-identification (ReID) systems have been widely applied in the field of public security. However, cameras often lack the perception of 3D morphological information of human and are susceptible to various limitations, such as inadequate illumination, complex background, and personal privacy.
Wenxuan Guo, Zhiyu Pan, Yingping Liang, Ziheng Xi, Zhicheng Zhong 0001, Jianjiang Feng, Jie Zhou 0001   +6 more
openaire   +2 more sources

Person Re-identification by Video Ranking [PDF]

, 2014
Current person re-identification (re-id) methods typically rely on single-frame imagery features, and ignore space-time information from image sequences. Single-frame (single-shot) visual appearance matching is inherently limited for person re-id in public spaces due to visual ambiguity arising from non-overlapping camera views where viewpoint and ...
Taiqing Wang, Shaogang Gong, Xiatian Zhu, Shengjin Wang   +3 more
openaire   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

Multi‐stage ranking approach for fast person re‐identification

IET Computer Vision, 2018
One of the goals of person re‐identification systems is to support video‐surveillance operators and forensic investigators to find an individual of interest in videos acquired by a network of non‐overlapping cameras. This is attained by sorting images of
Bahram Lavi Giorgio Fumera, Fabio Roli
doaj   +1 more source