A composite framework of deep multiple view human joints feature extraction and selection strategy with hybrid adaptive sunflower optimization‐whale optimization algorithm for human action recognition in video sequences-Reference-Cited by-同舟云学术

A composite framework of deep multiple view human joints feature extraction and selection strategy with hybrid adaptive sunflower optimization‐whale optimization algorithm for human action recognition in video sequences

Published:2022-01-18 Issue:2 Volume:38 Page:366-396
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Rajappan Rajitha Jasmine¹^ORCID,Kondampatti Kandaswamy Thyagharajan²

Affiliation:

1. Department of Information Technology RMK Engineering College Chennai India

2. Department of Computer Science and Engineering RMD Engineering College, Anna University Chennai India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12499

Reference35 articles.

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2. Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

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4. LiC ZhangX LiaoL JinL YangW.Skeleton‐based gesture recognition using several fully connected layers with path signature features and temporal transformer module. Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 33 2019:8585‐8593.

5. Region-sequence based six-stream CNN features for general and fine-grained human action recognition in videos

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