Results 51 to 60 of about 6,029,270 (241)

A survey on person and vehicle re‐identification

IET Computer Vision
Person/vehicle re‐identification aims to use technologies such as cross‐camera retrieval to associate the same person (same vehicle) in the surveillance videos at different locations, different times, and images captured by different cameras so as to ...
Zhaofa Wang, Liyang Wang, Zhiping Shi, Miaomiao Zhang, Qichuan Geng, Na Jiang   +5 more
doaj   +1 more source

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

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 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

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 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

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  

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

MSBA: Multiple Scales, Branches and Attention Network With Bag of Tricks for Person Re-Identification

IEEE Access, 2020
Person re-identification (Re-ID) has become a hot topic in both research and industry. We joined in a person Re-ID challenge of the First National Artificial Intelligence Challenge (China, 2019) and found some model designs and training tricks work great
Hanlin Tan, Huaxin Xiao, Xiaoyu Zhang, Bin Dai, Shiming Lai, Yu Liu, Maojun Zhang   +6 more
doaj   +1 more source