A Review of Deep Learning-based Human Activity Recognition on Benchmark Video Datasets-Reference-Cited by-同舟云学术

A Review of Deep Learning-based Human Activity Recognition on Benchmark Video Datasets

Published:2022-07-11 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Sharma Vijeta¹²^ORCID,Gupta Manjari¹^ORCID,Pandey Anil Kumar³,Mishra Deepti⁴^ORCID,Kumar Ajai²

Affiliation:

1. Computer Science, DST- Center for Interdisciplinary Mathematical Sciences, Institute of Science, Banaras Hindu University, Varanasi, India

2. Centre for Development of Advanced Computing, Pune, India

3. Computer Centre, Banaras Hindu University, Varanasi, India

4. Software, Data, and Digital Ecosystems Research Group, Educational Technology Laboratory, Department of Computer Science (IDI), NTNU - Norwegian University of Science and Technology, Gjøvik, Norway

Funder

Norwegian University of Science and Technology, Norway

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2093705

Reference100 articles.

1. Human Action Recognition based on Simple Deep Convolution Network PCANet

2. Sequential Deep Learning for Human Action Recognition

3. SURF: Speeded Up Robust Features

4. Vision-based human activity recognition: a survey

5. Weakly Supervised Action Labeling in Videos under Ordering Constraints

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