2024
DOI: 10.21203/rs.3.rs-3937391/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Multi-Modal Human Action Recognition in videos using LSTM with Feature Fusion

A. Bharathi,
M. Sri

Abstract: Over past few decades, Human action recognition (HAR) in RGB-Depth videos has been extensively studied on the availability of economical depth sensors. Presently, unimodal methods such as skeleton-based and RGB video-based have achieved significant advancements by utilizing progressively larger amounts of data. Nevertheless, there has been a challenge of extracting the temporal feature in RGB video, spatial feature in skeleton sequence. To solve this challenge, we propose Skeleton-RGB Feature Fusion LSTM (SRF-… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
references
References 23 publications
0
0
0
Order By: Relevance