Results 71 to 80 of about 2,834,648 (359)

Human Action Recognition Based on Transfer Learning Approach

IEEE Access, 2021
Human action recognition techniques have gained significant attention among next-generation technologies due to their specific features and high capability to inspect video sequences to understand human actions.
Yousry Abdulazeem, Hossam Magdy Balaha, Waleed M. Bahgat, Mahmoud Badawy   +3 more
doaj   +1 more source

Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching [PDF]

AAAI Conference on Artificial Intelligence, 2019
Human action recognition from skeleton data, fuelled by the Graph Convolutional Network (GCN) with its powerful capability of modeling non-Euclidean data, has attracted lots of attention.
Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao   +3 more
semanticscholar   +1 more source

Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition

AAAI Conference on Artificial Intelligence
Graph convolutional networks (GCNs) have attracted great attention and achieved remarkable performance in skeleton-based action recognition. However, most of the previous works are designed to refine skeleton topology without considering the types of ...
Jianyang Xie, Y. Meng, Yitian Zhao, Anh Nguyen, Xiaoyun Yang, Yalin Zheng   +5 more
semanticscholar   +1 more source

DIY Human Action Data Set Generation

, 2018
The recent successes in applying deep learning techniques to solve standard computer vision problems has aspired researchers to propose new computer vision problems in different domains.
Joze, Hamid Reza Vaezi, Khodabandeh, Mehran, Pradeep, Vivek, Zharkov, Ilya   +3 more
core   +1 more source

A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision

Technologies
Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions.
Nikoleta Manakitsa, George S. Maraslidis, L. Moysis, G. Fragulis   +3 more
semanticscholar   +1 more source

Bags of Graphs for Human Action Recognition [PDF]

, 2018
Bags of visual words are a well known approach for images classification that also has been used in human action recognition. This model proposes to represent images or videos in a structure referred to as bag of visual words before classifying. The process of representing a video in a bag of visual words is known as the encoding process and is based ...
Xavier Cortés, Donatello Conte, Hubert Cardot   +2 more
openaire   +2 more sources

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges, Kelly A. Duffy, Sara McDonough, Evelyn Kurpiewski, R. Jennifer Randall, Allison Barz Leahy, Haley M. Newman, Joyce P. Lee, Stephen P. Hunger, Anne F. Reilly, David T. Teachey, Susan R. Rheingold, Daniel J. Zheng   +12 more
wiley   +1 more source

Human Action Recognition Systems: A Review of the Trends and State-of-the-Art

IEEE Access
Human action recognition (HAR), deeply rooted in computer vision, video surveillance, automated observation, and human-computer interaction (HCI), enables precise identification of human actions.
Misha Karim, Shah Khalid, Aliya Aleryani, Jawad Khan, Irfan Ullah, Z. Ali   +5 more
semanticscholar   +1 more source

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior, Edmara Bazoni Soares Maia, Soad Fuentes‐Alabí, Courtney E. Sullivan, Monnie Abraham, Mauricio Maza, Liliana Vásquez Ponce, Regina Aparecida Garcia Lima   +7 more
wiley   +1 more source

Multiple subsequence combination in human action recognition

IET Computer Vision, 2014
Human action recognition is an active research area with applications in several domains such as visual surveillance, video retrieval and human–computer interaction.
Leonardo Onofri, Paolo Soda, Giulio Iannello   +2 more
doaj   +1 more source