A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications
Abstract Due to the rapid advances in computer vision and deep learning, human action recognition has become one of the most important representative tasks for video understanding. Especially for human action recognition based on RGB-D data, a promising research direction, there has been a number of...
Saved in:
| Main Authors: | Yumin Zhang, Yanyong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
|
| Series: | EURASIP Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13640-025-00677-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robustness of the RGB image-based estimation for rice above-ground biomass by utilizing the dataset collected across multiple locations
by: Kota Nakajima, et al.
Published: (2025-08-01) -
Human activity recognition algorithms for manual material handling activities
by: Andreas Sochopoulos, et al.
Published: (2025-03-01) -
Wavelet-Driven Multi-Band Feature Fusion for RGB-T Salient Object Detection
by: Jianxun Zhao, et al.
Published: (2024-12-01) -
Deep learning techniques for speech emotion recognition: A review
by: Silviana Widya Lestari, et al.
Published: (2023-06-01) -
Deep Learning for Recognition of Digital Modulations: A Detailed Study
by: MohammadMohsen Jadidi, et al.
Published: (2022-06-01)