Video augmentation technique for human action recognition using genetic algorithm-Reference-Cited by-同舟云学术

Video augmentation technique for human action recognition using genetic algorithm

Published:2022-01-12 Issue:2 Volume:44 Page:327-338
ISSN:1225-6463
Container-title:ETRI Journal
language:en
Short-container-title:ETRI Journal

Author:

Nida Nudrat¹^ORCID,Yousaf Muhammad Haroon¹²^ORCID,Irtaza Aun³^ORCID,Velastin Sergio A.⁴⁵^ORCID

Affiliation:

1. Department of Computer Engineering UET Taxila Pakistan

2. Swarm Robotics Lab National Centre of Robotics and Automation Islamabad Pakistan

3. Department of Computer Science UET Taxila Pakistan

4. Applied Artificial Intelligence Research Group, Department of Computer Science and Engineering University Carlos III de Madrid Madrid Spain

5. School of Electronic Engineering and Computer Science Queen Mary University of London London UK

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.2019-0510

Reference44 articles.

1. Dense Trajectories and Motion Boundary Descriptors for Action Recognition

2. Evaluation of local spatio-temporal features for action recognition

3. The recognition of human movement using temporal templates

4. Co‐occurrence feature learning for skeleton based action recognition using regularized deep lstm networks;Zhu W.;Proc. AAAI Conf. Artif. Intell.,2016

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