Scalable local features and hybrid classifiers for improving action recognition-Reference-Cited by-同舟云学术

Scalable local features and hybrid classifiers for improving action recognition

Published:2019-04-10 Issue:4 Volume:36 Page:3357-3372
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Pham Van-Huy¹,Jo Kang-Hyun²,Hoang Van-Dung³

Affiliation:

1. AI Lab., Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh city, Vietnam

2. School of Electrical Engineering, University of Ulsan, Ulsan city, South Korea

3. Intelligent Systems Lab., Quang Binh University, Dong Hoi city, Vietnam

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference32 articles.

1. Space-time robust representation for action recognition;Ballas;Proceedings of the IEEE International Conference on Computer Vision,2013

2. Remote monitoring and control smart floor for detecting falls and wandering patterns in people with dementia;Chou;Journal of Intelligent & Fuzzy Systems

3. Two-frame motion estimation based on polynomial expansion;Farnebäck;Image Analysis,2003

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Omni-TransPose: Fusion of OmniPose and Transformer Architecture for Improving Action Detection;Communications in Computer and Information Science;2024

2. Application of artificial intelligence technology in recognition of sports athletes’ running foul;Journal of Computational Methods in Sciences and Engineering;2022-12-19

3. Dealing with the Class Imbalance Problem in the Detection of Fake Job Descriptions;Computers, Materials & Continua;2021